{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  <center>选股分析</center>\n",
    "<center>第二小组</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Section 2 机器学习"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 数据处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "column=['alpha2', 'alpha3', 'alpha4', 'alpha5', 'alpha6', 'alpha7', 'alpha8', 'alpha9', 'alpha10', 'alpha11', 'alpha12', 'alpha13', 'alpha14', 'alpha15', 'alpha16', 'alpha17', 'alpha18', 'alpha19', 'alpha20', 'alpha21', 'alpha22', 'alpha23', 'alpha24', 'alpha25', 'alpha27', 'alpha28', 'alpha29', 'alpha31', 'alpha32', 'alpha33', 'alpha34', 'alpha35', 'alpha36', 'alpha37', 'alpha38', 'alpha39', 'alpha40', 'alpha41', 'alpha42', 'alpha43', 'alpha44', 'alpha45', 'alpha46', 'alpha47', 'alpha48', 'alpha49', 'alpha50', 'alpha51', 'alpha52', 'alpha53', 'alpha54', 'alpha55', 'alpha56', 'alpha58', 'alpha59', 'alpha60', 'alpha61', 'alpha63', 'alpha64', 'alpha65', 'alpha66', 'alpha67', 'alpha68', 'alpha69', 'alpha71', 'alpha72', 'alpha73', 'alpha74', 'alpha75', 'alpha76', 'alpha77', 'alpha78', 'alpha79', 'alpha80', 'alpha81', 'alpha82', 'alpha83', 'alpha84', 'alpha85', 'alpha86', 'alpha87', 'alpha88', 'alpha89', 'alpha90', 'alpha92', 'alpha93', 'alpha94', 'alpha96', 'alpha97', 'alpha98', 'alpha99', 'alpha100', 'alpha101', 'alpha102', 'alpha103', 'alpha104', 'alpha105', 'alpha106', 'alpha107', 'alpha108', 'alpha109', 'alpha110', 'alpha111', 'alpha113', 'alpha114', 'alpha115', 'alpha116', 'alpha117', 'alpha118', 'alpha119', 'alpha120', 'alpha121', 'alpha122', 'alpha123', 'alpha124', 'alpha125', 'alpha126', 'alpha128', 'alpha130', 'alpha131', 'alpha132', 'alpha133', 'alpha134', 'alpha135', 'alpha136', 'alpha137', 'alpha138', 'alpha139', 'alpha140', 'alpha141', 'alpha142', 'alpha143', 'alpha144', 'alpha145', 'alpha146', 'alpha147', 'alpha148', 'alpha149', 'alpha150', 'alpha151', 'alpha152', 'alpha153', 'alpha154', 'alpha155', 'alpha157', 'alpha158', 'alpha159', 'alpha160', 'alpha161', 'alpha162', 'alpha163', 'alpha164', 'alpha165', 'alpha166', 'alpha167', 'alpha168', 'alpha169', 'alpha170', 'alpha171', 'alpha172', 'alpha173', 'alpha174', 'alpha175', 'alpha176', 'alpha177', 'alpha178', 'alpha179', 'alpha180', 'alpha181', 'alpha182', 'alpha183', 'alpha184', 'alpha185', 'alpha186', 'alpha187', 'alpha188', 'alpha189', 'alpha190', 'alpha191','target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "date=[]\n",
    "col=[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv('C:/Users/Jimei/Desktop/feature/alpha2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in data['trade_date'].values:\n",
    "    for j in data.columns[1:]:\n",
    "        date.append(i)\n",
    "        col.append(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=pd.DataFrame({'date':date,'name':col})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "column=['alpha2', 'alpha3', 'alpha4', 'alpha5', 'alpha6', 'alpha7', 'alpha8', 'alpha9', 'alpha10', 'alpha11', 'alpha12', 'alpha13', 'alpha14', 'alpha15', 'alpha16', 'alpha17', 'alpha18', 'alpha19', 'alpha20', 'alpha21', 'alpha22', 'alpha23', 'alpha24', 'alpha25', 'alpha27', 'alpha28', 'alpha29', 'alpha31', 'alpha32', 'alpha33', 'alpha34', 'alpha35', 'alpha36', 'alpha37', 'alpha38', 'alpha39', 'alpha40', 'alpha41', 'alpha42', 'alpha43', 'alpha44', 'alpha45', 'alpha46', 'alpha47', 'alpha48', 'alpha49', 'alpha50', 'alpha51', 'alpha52', 'alpha53', 'alpha54', 'alpha55', 'alpha56', 'alpha58', 'alpha59', 'alpha60', 'alpha61', 'alpha63', 'alpha64', 'alpha65', 'alpha66', 'alpha67', 'alpha68', 'alpha69', 'alpha71', 'alpha72', 'alpha73', 'alpha74', 'alpha75', 'alpha76', 'alpha77', 'alpha78', 'alpha79', 'alpha80', 'alpha81', 'alpha82', 'alpha83', 'alpha84', 'alpha85', 'alpha86', 'alpha87', 'alpha88', 'alpha89', 'alpha90', 'alpha92', 'alpha93', 'alpha94', 'alpha96', 'alpha97', 'alpha98', 'alpha99', 'alpha100', 'alpha101', 'alpha102', 'alpha103', 'alpha104', 'alpha105', 'alpha106', 'alpha107', 'alpha108', 'alpha109', 'alpha110', 'alpha111', 'alpha113', 'alpha114', 'alpha115', 'alpha116', 'alpha117', 'alpha118', 'alpha119', 'alpha120', 'alpha121', 'alpha122', 'alpha123', 'alpha124', 'alpha125', 'alpha126', 'alpha128', 'alpha130', 'alpha131', 'alpha132', 'alpha133', 'alpha134', 'alpha135', 'alpha136', 'alpha137', 'alpha138', 'alpha139', 'alpha140', 'alpha141', 'alpha142', 'alpha143', 'alpha144', 'alpha145', 'alpha146', 'alpha147', 'alpha148', 'alpha149', 'alpha150', 'alpha151', 'alpha152', 'alpha153', 'alpha154', 'alpha155', 'alpha157', 'alpha158', 'alpha159', 'alpha160', 'alpha161', 'alpha162', 'alpha163', 'alpha164', 'alpha165', 'alpha166', 'alpha167', 'alpha168', 'alpha169', 'alpha170', 'alpha171', 'alpha172', 'alpha173', 'alpha174', 'alpha175', 'alpha176', 'alpha177', 'alpha178', 'alpha179', 'alpha180', 'alpha181', 'alpha182', 'alpha183', 'alpha184', 'alpha185', 'alpha186', 'alpha187', 'alpha188', 'alpha189', 'alpha190', 'alpha191','target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alpha2\n",
      "alpha3\n",
      "alpha4\n",
      "alpha5\n",
      "alpha6\n",
      "alpha7\n",
      "alpha8\n",
      "alpha9\n",
      "alpha10\n",
      "alpha11\n",
      "alpha12\n",
      "alpha13\n",
      "alpha14\n",
      "alpha15\n",
      "alpha16\n",
      "alpha17\n",
      "alpha18\n",
      "alpha19\n",
      "alpha20\n",
      "alpha21\n",
      "alpha22\n",
      "alpha23\n",
      "alpha24\n",
      "alpha25\n",
      "alpha27\n",
      "alpha28\n",
      "alpha29\n",
      "alpha31\n",
      "alpha32\n",
      "alpha33\n",
      "alpha34\n",
      "alpha35\n",
      "alpha36\n",
      "alpha37\n",
      "alpha38\n",
      "alpha39\n",
      "alpha40\n",
      "alpha41\n",
      "alpha42\n",
      "alpha43\n",
      "alpha44\n",
      "alpha45\n",
      "alpha46\n",
      "alpha47\n",
      "alpha48\n",
      "alpha49\n",
      "alpha50\n",
      "alpha51\n",
      "alpha52\n",
      "alpha53\n",
      "alpha54\n",
      "alpha55\n",
      "alpha56\n",
      "alpha58\n",
      "alpha59\n",
      "alpha60\n",
      "alpha61\n",
      "alpha63\n",
      "alpha64\n",
      "alpha65\n",
      "alpha66\n",
      "alpha67\n",
      "alpha68\n",
      "alpha69\n",
      "alpha71\n",
      "alpha72\n",
      "alpha73\n",
      "alpha74\n",
      "alpha75\n",
      "alpha76\n",
      "alpha77\n",
      "alpha78\n",
      "alpha79\n",
      "alpha80\n",
      "alpha81\n",
      "alpha82\n",
      "alpha83\n",
      "alpha84\n",
      "alpha85\n",
      "alpha86\n",
      "alpha87\n",
      "alpha88\n",
      "alpha89\n",
      "alpha90\n",
      "alpha92\n",
      "alpha93\n",
      "alpha94\n",
      "alpha96\n",
      "alpha97\n",
      "alpha98\n",
      "alpha99\n",
      "alpha100\n",
      "alpha101\n",
      "alpha102\n",
      "alpha103\n",
      "alpha104\n",
      "alpha105\n",
      "alpha106\n",
      "alpha107\n",
      "alpha108\n",
      "alpha109\n",
      "alpha110\n",
      "alpha111\n",
      "alpha113\n",
      "alpha114\n",
      "alpha115\n",
      "alpha116\n",
      "alpha117\n",
      "alpha118\n",
      "alpha119\n",
      "alpha120\n",
      "alpha121\n",
      "alpha122\n",
      "alpha123\n",
      "alpha124\n",
      "alpha125\n",
      "alpha126\n",
      "alpha128\n",
      "alpha130\n",
      "alpha131\n",
      "alpha132\n",
      "alpha133\n",
      "alpha134\n",
      "alpha135\n",
      "alpha136\n",
      "alpha137\n",
      "alpha138\n",
      "alpha139\n",
      "alpha140\n",
      "alpha141\n",
      "alpha142\n",
      "alpha143\n",
      "alpha144\n",
      "alpha145\n",
      "alpha146\n",
      "alpha147\n",
      "alpha148\n",
      "alpha149\n",
      "alpha150\n",
      "alpha151\n",
      "alpha152\n",
      "alpha153\n",
      "alpha154\n",
      "alpha155\n",
      "alpha157\n",
      "alpha158\n",
      "alpha159\n",
      "alpha160\n",
      "alpha161\n",
      "alpha162\n",
      "alpha163\n",
      "alpha164\n",
      "alpha165\n",
      "alpha166\n",
      "alpha167\n",
      "alpha168\n",
      "alpha169\n",
      "alpha170\n",
      "alpha171\n",
      "alpha172\n",
      "alpha173\n",
      "alpha174\n",
      "alpha175\n",
      "alpha176\n",
      "alpha177\n",
      "alpha178\n",
      "alpha179\n",
      "alpha180\n",
      "alpha181\n",
      "alpha182\n",
      "alpha183\n",
      "alpha184\n",
      "alpha185\n",
      "alpha186\n",
      "alpha187\n",
      "alpha188\n",
      "alpha189\n",
      "alpha190\n",
      "alpha191\n",
      "target\n"
     ]
    }
   ],
   "source": [
    "for featurename in column:\n",
    "    print(featurename)\n",
    "    data=pd.read_csv('C:/Users/Jimei/Desktop/feature/%s.csv'%(featurename))\n",
    "    date=data['trade_date'].apply(int).values\n",
    "    temframe=pd.DataFrame(columns=['date','name',featurename])\n",
    "    for j in data.columns[1:]:\n",
    "        value=data[j].values\n",
    "        temframe=pd.concat([temframe,pd.DataFrame({'date':date,'name':j,featurename:value})])\n",
    "    temframe['date']=temframe['date'].apply(int)\n",
    "    result=pd.merge(result,temframe,how='outer',on=['date','name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv('data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>name</th>\n",
       "      <th>alpha2</th>\n",
       "      <th>alpha3</th>\n",
       "      <th>alpha4</th>\n",
       "      <th>alpha5</th>\n",
       "      <th>alpha6</th>\n",
       "      <th>alpha7</th>\n",
       "      <th>alpha8</th>\n",
       "      <th>alpha9</th>\n",
       "      <th>...</th>\n",
       "      <th>alpha183</th>\n",
       "      <th>alpha184</th>\n",
       "      <th>alpha185</th>\n",
       "      <th>alpha186</th>\n",
       "      <th>alpha187</th>\n",
       "      <th>alpha188</th>\n",
       "      <th>alpha189</th>\n",
       "      <th>alpha190</th>\n",
       "      <th>alpha191</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>-0.116667</td>\n",
       "      <td>-9.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.530931e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9045.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>-1.827606e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.13</td>\n",
       "      <td>128.221601</td>\n",
       "      <td>2.558333e-01</td>\n",
       "      <td>-11.899066</td>\n",
       "      <td>2.640501e+01</td>\n",
       "      <td>-0.073590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000002.SZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.668031e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.34</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>3.552714e-15</td>\n",
       "      <td>-9.605623</td>\n",
       "      <td>-2.523952e-07</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000008.SZ</td>\n",
       "      <td>0.957348</td>\n",
       "      <td>-8.300000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.398115e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.10</td>\n",
       "      <td>103.242753</td>\n",
       "      <td>3.963889e-01</td>\n",
       "      <td>-9.232006</td>\n",
       "      <td>1.424994e+01</td>\n",
       "      <td>-0.159937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000009.SZ</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-3.150000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.036961e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>16240.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>-9.880921e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>405.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.97</td>\n",
       "      <td>87.660346</td>\n",
       "      <td>5.758333e-01</td>\n",
       "      <td>-9.267051</td>\n",
       "      <td>5.236059e+00</td>\n",
       "      <td>-0.101224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000024.SZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.055413e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000027.SZ</td>\n",
       "      <td>0.170068</td>\n",
       "      <td>-1.490000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.003267e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>69136.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>-7.659751e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.08</td>\n",
       "      <td>155.212223</td>\n",
       "      <td>2.977778e-01</td>\n",
       "      <td>-9.751322</td>\n",
       "      <td>6.675573e+00</td>\n",
       "      <td>-0.123885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000039.SZ</td>\n",
       "      <td>0.045221</td>\n",
       "      <td>-3.970000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.905694e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>27810.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>-6.459548e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>408.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.81</td>\n",
       "      <td>90.000810</td>\n",
       "      <td>8.094444e-01</td>\n",
       "      <td>-8.579370</td>\n",
       "      <td>2.469132e+01</td>\n",
       "      <td>-0.072541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000046.SZ</td>\n",
       "      <td>0.111137</td>\n",
       "      <td>-1.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.711232e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>7038.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>-2.928908e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.64</td>\n",
       "      <td>71.829828</td>\n",
       "      <td>4.472222e-01</td>\n",
       "      <td>-8.721542</td>\n",
       "      <td>1.930378e+01</td>\n",
       "      <td>-0.088353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000060.SZ</td>\n",
       "      <td>0.228571</td>\n",
       "      <td>-2.400000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9324.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>-8.483780e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.97</td>\n",
       "      <td>93.165425</td>\n",
       "      <td>6.152778e-01</td>\n",
       "      <td>-8.984750</td>\n",
       "      <td>1.961559e+01</td>\n",
       "      <td>-0.166887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000061.SZ</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>-4.670000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.750000e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>11438.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>-2.492997e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>413.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.24</td>\n",
       "      <td>70.620436</td>\n",
       "      <td>1.026389e+00</td>\n",
       "      <td>-8.311806</td>\n",
       "      <td>2.082842e+01</td>\n",
       "      <td>-0.158562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000063.SZ</td>\n",
       "      <td>0.013031</td>\n",
       "      <td>-2.350000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.678053e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>126456.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>-1.208779e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.23</td>\n",
       "      <td>134.419956</td>\n",
       "      <td>4.644444e-01</td>\n",
       "      <td>-9.361549</td>\n",
       "      <td>1.382470e+01</td>\n",
       "      <td>-0.099042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000069.SZ</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>-1.570000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68448.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>-3.282336e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.95</td>\n",
       "      <td>99.680350</td>\n",
       "      <td>3.488889e-01</td>\n",
       "      <td>-9.067292</td>\n",
       "      <td>1.725636e+01</td>\n",
       "      <td>-0.133987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000100.SZ</td>\n",
       "      <td>0.129199</td>\n",
       "      <td>-5.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-1.589163e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.66</td>\n",
       "      <td>106.364046</td>\n",
       "      <td>1.288889e-01</td>\n",
       "      <td>-8.928884</td>\n",
       "      <td>-1.035634e-01</td>\n",
       "      <td>-0.065060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000156.SZ</td>\n",
       "      <td>-0.004808</td>\n",
       "      <td>-6.170000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.900980e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68816.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>-1.722796e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>495.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.94</td>\n",
       "      <td>141.519548</td>\n",
       "      <td>1.315278e+00</td>\n",
       "      <td>-9.338116</td>\n",
       "      <td>2.527618e+00</td>\n",
       "      <td>-0.150460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000157.SZ</td>\n",
       "      <td>-0.047619</td>\n",
       "      <td>-6.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.288281e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>18880.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>-4.614440e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.67</td>\n",
       "      <td>131.437867</td>\n",
       "      <td>1.500000e-01</td>\n",
       "      <td>-11.135158</td>\n",
       "      <td>1.279595e+01</td>\n",
       "      <td>-0.083179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000166.SZ</td>\n",
       "      <td>0.125799</td>\n",
       "      <td>-1.420000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.401681e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>63750.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>-4.494364e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>247.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.89</td>\n",
       "      <td>122.001859</td>\n",
       "      <td>3.016667e-01</td>\n",
       "      <td>-8.626218</td>\n",
       "      <td>1.161197e+00</td>\n",
       "      <td>-0.110193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>0.425371</td>\n",
       "      <td>-2.300000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12496.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-8.409500e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>332.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.46</td>\n",
       "      <td>95.988024</td>\n",
       "      <td>1.035000e+00</td>\n",
       "      <td>-8.798900</td>\n",
       "      <td>4.433935e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000338.SZ</td>\n",
       "      <td>-0.070122</td>\n",
       "      <td>-1.140000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.071068e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>60950.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>-4.339831e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.79</td>\n",
       "      <td>154.593279</td>\n",
       "      <td>2.055556e-01</td>\n",
       "      <td>-10.986103</td>\n",
       "      <td>3.308467e+00</td>\n",
       "      <td>-0.082653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000400.SZ</td>\n",
       "      <td>0.422969</td>\n",
       "      <td>-1.310000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.759001e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42813.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>-2.589300e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>348.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.98</td>\n",
       "      <td>125.768613</td>\n",
       "      <td>4.341667e-01</td>\n",
       "      <td>-9.372722</td>\n",
       "      <td>5.886652e+00</td>\n",
       "      <td>-0.072389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000402.SZ</td>\n",
       "      <td>0.015693</td>\n",
       "      <td>-2.510000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>13875.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>-4.087701e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.94</td>\n",
       "      <td>43.728880</td>\n",
       "      <td>8.272222e-01</td>\n",
       "      <td>-8.749756</td>\n",
       "      <td>1.864166e+01</td>\n",
       "      <td>-0.161421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000408.SZ</td>\n",
       "      <td>0.580645</td>\n",
       "      <td>-2.180000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8.802846e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.65</td>\n",
       "      <td>69.671544</td>\n",
       "      <td>4.805556e-01</td>\n",
       "      <td>-10.341476</td>\n",
       "      <td>4.645282e+00</td>\n",
       "      <td>-0.187898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000413.SZ</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-1.360000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.100420e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>52371.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>-3.811492e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>353.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.30</td>\n",
       "      <td>144.813611</td>\n",
       "      <td>2.763889e-01</td>\n",
       "      <td>-10.212139</td>\n",
       "      <td>2.426113e+00</td>\n",
       "      <td>-0.133616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000415.SZ</td>\n",
       "      <td>1.158763</td>\n",
       "      <td>-1.260000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.076923e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>72782.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>-3.741352e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.45</td>\n",
       "      <td>162.481130</td>\n",
       "      <td>1.986111e-01</td>\n",
       "      <td>-10.500818</td>\n",
       "      <td>1.011863e+01</td>\n",
       "      <td>-0.071836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000423.SZ</td>\n",
       "      <td>0.343994</td>\n",
       "      <td>-6.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.728716e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71526.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>-2.172974e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>480.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.90</td>\n",
       "      <td>97.282457</td>\n",
       "      <td>1.614722e+00</td>\n",
       "      <td>-9.817962</td>\n",
       "      <td>1.802464e+01</td>\n",
       "      <td>-0.062162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000425.SZ</td>\n",
       "      <td>0.701220</td>\n",
       "      <td>-4.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>80938.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-2.848270e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>188.440400</td>\n",
       "      <td>9.638889e-02</td>\n",
       "      <td>-10.889267</td>\n",
       "      <td>7.884189e+00</td>\n",
       "      <td>-0.112644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000503.SZ</td>\n",
       "      <td>0.263196</td>\n",
       "      <td>-5.850000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.345225e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56175.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>-1.028363e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.93</td>\n",
       "      <td>139.979646</td>\n",
       "      <td>8.000000e-01</td>\n",
       "      <td>-9.789805</td>\n",
       "      <td>1.554069e+01</td>\n",
       "      <td>-0.081040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000538.SZ</td>\n",
       "      <td>-0.107451</td>\n",
       "      <td>-8.450000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.128709e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71027.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>-1.899783e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>382.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.36</td>\n",
       "      <td>97.869826</td>\n",
       "      <td>2.249167e+00</td>\n",
       "      <td>-10.856881</td>\n",
       "      <td>3.761602e+01</td>\n",
       "      <td>-0.083705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000539.SZ</td>\n",
       "      <td>0.303922</td>\n",
       "      <td>-8.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.182179e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>25480.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-9.765854e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90</td>\n",
       "      <td>161.664412</td>\n",
       "      <td>1.777778e-01</td>\n",
       "      <td>-10.777327</td>\n",
       "      <td>5.954545e+00</td>\n",
       "      <td>-0.107285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000540.SZ</td>\n",
       "      <td>-0.020833</td>\n",
       "      <td>-1.960000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.961161e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3350.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>-2.481670e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.65</td>\n",
       "      <td>89.441831</td>\n",
       "      <td>7.358333e-01</td>\n",
       "      <td>-9.245898</td>\n",
       "      <td>2.270498e+01</td>\n",
       "      <td>-0.225989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000553.SZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td>20181228</td>\n",
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       "    <tr>\n",
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       "      <td>20181228</td>\n",
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       "    <tr>\n",
       "      <th>333309</th>\n",
       "      <td>20181228</td>\n",
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       "      <th>333310</th>\n",
       "      <td>20181228</td>\n",
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       "    <tr>\n",
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       "      <td>20181228</td>\n",
       "      <td>601929.SH</td>\n",
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       "    <tr>\n",
       "      <th>333312</th>\n",
       "      <td>20181228</td>\n",
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       "    <tr>\n",
       "      <th>333313</th>\n",
       "      <td>20181228</td>\n",
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       "    <tr>\n",
       "      <th>333314</th>\n",
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       "    <tr>\n",
       "      <th>333315</th>\n",
       "      <td>20181228</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>333318</th>\n",
       "      <td>20181228</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.05</td>\n",
       "      <td>-13.058918</td>\n",
       "      <td>5.608333e-01</td>\n",
       "      <td>-12.315344</td>\n",
       "      <td>2.087025e-01</td>\n",
       "      <td>-0.035267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333326</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603160.SH</td>\n",
       "      <td>-0.566917</td>\n",
       "      <td>-4.470000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.875000e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>67275.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>-8.598141e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.60</td>\n",
       "      <td>77.393227</td>\n",
       "      <td>8.486111e-01</td>\n",
       "      <td>-9.142646</td>\n",
       "      <td>-2.342918e+00</td>\n",
       "      <td>-0.046638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333327</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603259.SH</td>\n",
       "      <td>-1.012755</td>\n",
       "      <td>3.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.156630e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>53165.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>-2.515946e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.68</td>\n",
       "      <td>-44.376751</td>\n",
       "      <td>9.658333e-01</td>\n",
       "      <td>-10.849971</td>\n",
       "      <td>-1.725854e-01</td>\n",
       "      <td>-0.047946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333328</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603260.SH</td>\n",
       "      <td>-0.548450</td>\n",
       "      <td>-2.270000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.985957e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>64261.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>-1.810163e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>316.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.75</td>\n",
       "      <td>-25.761433</td>\n",
       "      <td>4.427778e-01</td>\n",
       "      <td>-14.160424</td>\n",
       "      <td>8.509764e-01</td>\n",
       "      <td>-0.053382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333329</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603288.SH</td>\n",
       "      <td>-0.491582</td>\n",
       "      <td>4.340000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-7.669650e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54054.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.854426e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.60</td>\n",
       "      <td>-13.050540</td>\n",
       "      <td>1.681667e+00</td>\n",
       "      <td>-10.964737</td>\n",
       "      <td>-4.299187e+00</td>\n",
       "      <td>-0.011210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333330</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603799.SH</td>\n",
       "      <td>-1.164361</td>\n",
       "      <td>-4.040000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>21546.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>-2.812960e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>254.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.90</td>\n",
       "      <td>-18.136480</td>\n",
       "      <td>1.483611e+00</td>\n",
       "      <td>-10.475174</td>\n",
       "      <td>3.283538e-01</td>\n",
       "      <td>-0.098503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333331</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603833.SH</td>\n",
       "      <td>0.288645</td>\n",
       "      <td>-5.540000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.637626e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>111936.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>-3.350522e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>463.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.29</td>\n",
       "      <td>-28.699377</td>\n",
       "      <td>1.501111e+00</td>\n",
       "      <td>-10.357768</td>\n",
       "      <td>9.591412e-01</td>\n",
       "      <td>-0.080189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333332</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603858.SH</td>\n",
       "      <td>-1.071429</td>\n",
       "      <td>-4.800000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.340766e-02</td>\n",
       "      <td>107.0</td>\n",
       "      <td>49750.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>-7.673470e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.18</td>\n",
       "      <td>-49.182513</td>\n",
       "      <td>1.633333e-01</td>\n",
       "      <td>-11.698793</td>\n",
       "      <td>-5.918995e-01</td>\n",
       "      <td>-0.028066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333333</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603885.SH</td>\n",
       "      <td>-0.048276</td>\n",
       "      <td>1.650000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-3.888889e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.940100e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.79</td>\n",
       "      <td>-23.322306</td>\n",
       "      <td>2.080556e-01</td>\n",
       "      <td>-10.386483</td>\n",
       "      <td>7.594454e-01</td>\n",
       "      <td>0.001599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333334</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603986.SH</td>\n",
       "      <td>-1.309565</td>\n",
       "      <td>-5.590000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.909903e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>64064.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>-8.374830e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>303.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.75</td>\n",
       "      <td>-10.648072</td>\n",
       "      <td>1.910556e+00</td>\n",
       "      <td>-11.304116</td>\n",
       "      <td>-6.195094e-01</td>\n",
       "      <td>-0.116279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333335</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603993.SH</td>\n",
       "      <td>-0.460317</td>\n",
       "      <td>-3.800000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.336306e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>4719.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>-7.605634e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>348.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-34.809161</td>\n",
       "      <td>1.208333e-01</td>\n",
       "      <td>-12.493727</td>\n",
       "      <td>5.899532e-01</td>\n",
       "      <td>-0.078431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>333336 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date       name    alpha2        alpha3  alpha4        alpha5  \\\n",
       "0       20160104  000001.SZ -0.116667 -9.700000e-01     1.0  1.530931e-01   \n",
       "1       20160104  000002.SZ       NaN  0.000000e+00    -1.0 -0.000000e+00   \n",
       "2       20160104  000008.SZ  0.957348 -8.300000e-01    -1.0 -4.803845e-01   \n",
       "3       20160104  000009.SZ  0.142857 -3.150000e+00     1.0 -9.036961e-01   \n",
       "4       20160104  000024.SZ       NaN           NaN     NaN -0.000000e+00   \n",
       "5       20160104  000027.SZ  0.170068 -1.490000e+00     1.0 -8.003267e-01   \n",
       "6       20160104  000039.SZ  0.045221 -3.970000e+00     1.0 -7.905694e-01   \n",
       "7       20160104  000046.SZ  0.111137 -1.290000e+00     1.0 -9.711232e-01   \n",
       "8       20160104  000060.SZ  0.228571 -2.400000e+00     1.0 -6.666667e-01   \n",
       "9       20160104  000061.SZ  0.269841 -4.670000e+00     1.0  3.750000e-01   \n",
       "10      20160104  000063.SZ  0.013031 -2.350000e+00     1.0 -9.678053e-01   \n",
       "11      20160104  000069.SZ  0.200000 -1.570000e+00     1.0 -1.000000e+00   \n",
       "12      20160104  000100.SZ  0.129199 -5.700000e-01     1.0 -1.000000e+00   \n",
       "13      20160104  000156.SZ -0.004808 -6.170000e+00     1.0 -4.900980e-01   \n",
       "14      20160104  000157.SZ -0.047619 -6.000000e-01     1.0 -6.288281e-01   \n",
       "15      20160104  000166.SZ  0.125799 -1.420000e+00     1.0 -8.401681e-01   \n",
       "16      20160104  000333.SZ  0.425371 -2.300000e+00    -1.0 -1.000000e+00   \n",
       "17      20160104  000338.SZ -0.070122 -1.140000e+00     1.0 -7.071068e-01   \n",
       "18      20160104  000400.SZ  0.422969 -1.310000e+00     1.0 -9.759001e-01   \n",
       "19      20160104  000402.SZ  0.015693 -2.510000e+00     1.0           NaN   \n",
       "20      20160104  000408.SZ  0.580645 -2.180000e+00     1.0 -4.803845e-01   \n",
       "21      20160104  000413.SZ -0.000000 -1.360000e+00     1.0 -2.100420e-01   \n",
       "22      20160104  000415.SZ  1.158763 -1.260000e+00    -1.0 -8.076923e-01   \n",
       "23      20160104  000423.SZ  0.343994 -6.290000e+00     1.0 -8.728716e-01   \n",
       "24      20160104  000425.SZ  0.701220 -4.700000e-01     1.0  1.666667e-01   \n",
       "25      20160104  000503.SZ  0.263196 -5.850000e+00     1.0 -5.345225e-01   \n",
       "26      20160104  000538.SZ -0.107451 -8.450000e+00     1.0 -9.128709e-01   \n",
       "27      20160104  000539.SZ  0.303922 -8.700000e-01     1.0 -2.182179e-01   \n",
       "28      20160104  000540.SZ -0.020833 -1.960000e+00     1.0  1.961161e-01   \n",
       "29      20160104  000553.SZ       NaN  0.000000e+00     1.0           NaN   \n",
       "...          ...        ...       ...           ...     ...           ...   \n",
       "333306  20181228  601898.SH -0.857143 -1.700000e-01     1.0 -0.000000e+00   \n",
       "333307  20181228  601899.SH -1.750000 -4.440892e-16     1.0 -8.540168e-01   \n",
       "333308  20181228  601901.SH -0.974545  9.000000e-02     1.0 -3.841880e-01   \n",
       "333309  20181228  601919.SH -0.750000  1.100000e-01    -1.0 -7.881104e-02   \n",
       "333310  20181228  601928.SH -0.166275  3.600000e-01     1.0 -9.759001e-01   \n",
       "333311  20181228  601929.SH -0.666667 -1.000000e-02     1.0 -4.510033e-01   \n",
       "333312  20181228  601933.SH -0.511312  6.600000e-01    -1.0 -8.790491e-01   \n",
       "333313  20181228  601939.SH -1.269841 -2.000000e-02     1.0 -7.905694e-01   \n",
       "333314  20181228  601958.SH -0.477273 -2.300000e-01     1.0 -5.884899e-01   \n",
       "333315  20181228  601966.SH -1.355897 -5.600000e-01     1.0 -1.720618e-01   \n",
       "333316  20181228  601969.SH -0.800000 -6.000000e-02    -1.0 -9.525793e-01   \n",
       "333317  20181228  601985.SH -0.920635  1.000000e-02    -1.0 -8.728716e-01   \n",
       "333318  20181228  601988.SH -0.000000  1.200000e-01     1.0 -2.500000e-01   \n",
       "333319  20181228  601989.SH  0.428571  1.000000e-01    -1.0 -3.626203e-01   \n",
       "333320  20181228  601991.SH -0.303030  8.000000e-02     1.0 -2.635231e-01   \n",
       "333321  20181228  601992.SH -0.071429 -2.900000e-01    -1.0 -1.961161e-01   \n",
       "333322  20181228  601997.SH -1.384615 -2.000000e-01     1.0 -0.000000e+00   \n",
       "333323  20181228  601998.SH -1.305556  1.000000e-02     1.0 -5.717719e-01   \n",
       "333324  20181228  603000.SH -0.588235 -6.000000e-02    -1.0 -8.546501e-16   \n",
       "333325  20181228  603156.SH -0.250000 -1.860000e+00     1.0 -6.276459e-01   \n",
       "333326  20181228  603160.SH -0.566917 -4.470000e+00     1.0 -6.875000e-01   \n",
       "333327  20181228  603259.SH -1.012755  3.000000e-01     1.0 -1.156630e-01   \n",
       "333328  20181228  603260.SH -0.548450 -2.270000e+00     1.0 -7.985957e-01   \n",
       "333329  20181228  603288.SH -0.491582  4.340000e+00    -1.0 -7.669650e-01   \n",
       "333330  20181228  603799.SH -1.164361 -4.040000e+00     1.0           NaN   \n",
       "333331  20181228  603833.SH  0.288645 -5.540000e+00     1.0 -7.637626e-01   \n",
       "333332  20181228  603858.SH -1.071429 -4.800000e-01     1.0 -3.340766e-02   \n",
       "333333  20181228  603885.SH -0.048276  1.650000e+00    -1.0 -3.888889e-01   \n",
       "333334  20181228  603986.SH -1.309565 -5.590000e+00     1.0 -4.909903e-01   \n",
       "333335  20181228  603993.SH -0.460317 -3.800000e-01     1.0 -1.336306e-01   \n",
       "\n",
       "        alpha6    alpha7  alpha8        alpha9    ...     alpha183  alpha184  \\\n",
       "0         46.0    9045.0   112.0 -1.827606e-09    ...          NaN      93.0   \n",
       "1         36.0    1100.0    18.0  8.668031e-09    ...          NaN     202.0   \n",
       "2          NaN       NaN     NaN -1.398115e-08    ...          NaN       NaN   \n",
       "3         46.0   16240.0   234.0 -9.880921e-09    ...          NaN     405.0   \n",
       "4          NaN       NaN     NaN  2.055413e-08    ...          NaN       NaN   \n",
       "5         46.0   69136.0   150.0 -7.659751e-09    ...          NaN     369.0   \n",
       "6         46.0   27810.0   264.0 -6.459548e-08    ...          NaN     408.0   \n",
       "7         46.0    7038.0   166.0 -2.928908e-08    ...          NaN     201.0   \n",
       "8         46.0    9324.0   174.0 -8.483780e-09    ...          NaN     369.0   \n",
       "9         46.0   11438.0   260.0 -2.492997e-08    ...          NaN     413.0   \n",
       "10        46.0  126456.0   184.0 -1.208779e-08    ...          NaN     216.0   \n",
       "11        46.0   68448.0   142.0 -3.282336e-09    ...          NaN     223.0   \n",
       "12        46.0    1864.0    66.0 -1.589163e-10    ...          NaN     128.0   \n",
       "13        46.0   68816.0   268.0 -1.722796e-07    ...          NaN     495.0   \n",
       "14        46.0   18880.0    69.0 -4.614440e-10    ...          NaN      57.0   \n",
       "15        46.0   63750.0   156.0 -4.494364e-09    ...          NaN     247.0   \n",
       "16         1.0   12496.0    30.0 -8.409500e-08    ...          NaN     332.0   \n",
       "17        46.0   60950.0   117.0 -4.339831e-09    ...          NaN     109.0   \n",
       "18         1.0   42813.0    72.0 -2.589300e-08    ...          NaN     348.0   \n",
       "19        46.0   13875.0   228.0 -4.087701e-09    ...          NaN     393.0   \n",
       "20         NaN       NaN     NaN -8.802846e-08    ...          NaN       NaN   \n",
       "21        46.0   52371.0   133.0 -3.811492e-09    ...          NaN     353.0   \n",
       "22        46.0   72782.0    86.0 -3.741352e-09    ...          NaN     393.0   \n",
       "23        46.0   71526.0   275.0 -2.172974e-07    ...          NaN     480.0   \n",
       "24        46.0   80938.0    60.0 -2.848270e-10    ...          NaN     125.0   \n",
       "25         1.0   56175.0   212.0 -1.028363e-07    ...          NaN     384.0   \n",
       "26        46.0   71027.0   287.0 -1.899783e-06    ...          NaN     382.0   \n",
       "27        46.0   25480.0    95.0 -9.765854e-09    ...          NaN     103.0   \n",
       "28        46.0    3350.0   149.0 -2.481670e-09    ...          NaN     139.0   \n",
       "29         NaN       NaN     NaN           NaN    ...          NaN       NaN   \n",
       "...        ...       ...     ...           ...    ...          ...       ...   \n",
       "333306   107.0   37269.0   156.0 -2.184294e-10    ...          NaN     209.0   \n",
       "333307   107.0    1332.0   130.0 -9.350132e-12    ...          NaN     324.0   \n",
       "333308     1.0   42771.0    57.0  3.613766e-10    ...          NaN      79.0   \n",
       "333309   107.0   13904.0    94.0  5.011643e-11    ...          NaN     298.0   \n",
       "333310     NaN       NaN     NaN  7.286627e-10    ...          NaN       NaN   \n",
       "333311     NaN       NaN     NaN -4.498561e-11    ...          NaN       NaN   \n",
       "333312     1.0    9646.0    29.0  4.331414e-10    ...          NaN     355.0   \n",
       "333313     1.0   54000.0    68.0 -9.026330e-12    ...          NaN     281.0   \n",
       "333314     NaN       NaN     NaN -6.753157e-10    ...          NaN       NaN   \n",
       "333315     NaN       NaN     NaN -3.049985e-09    ...          NaN       NaN   \n",
       "333316     NaN       NaN     NaN -1.954694e-09    ...          NaN       NaN   \n",
       "333317   107.0   42579.0   135.0 -2.409300e-11    ...          NaN     452.0   \n",
       "333318     1.0    1926.0    70.0  2.278494e-12    ...          NaN     476.0   \n",
       "333319     1.0   11385.0    67.0  1.546327e-11    ...          NaN     418.0   \n",
       "333320   107.0   37808.0    82.0  6.347656e-11    ...          NaN     387.0   \n",
       "333321   107.0    9700.0   139.0 -5.866498e-11    ...          NaN     475.0   \n",
       "333322   107.0   31944.0   126.0 -2.285733e-10    ...          NaN     349.0   \n",
       "333323     1.0   28014.0    95.0  4.178643e-12    ...          NaN     210.0   \n",
       "333324     NaN       NaN     NaN -3.889776e-10    ...          NaN       NaN   \n",
       "333325   107.0  107163.0   278.0 -4.612297e-07    ...          NaN     360.0   \n",
       "333326   107.0   67275.0   298.0 -8.598141e-07    ...          NaN      20.0   \n",
       "333327   107.0   53165.0   280.0 -2.515946e-07    ...          NaN     351.0   \n",
       "333328   107.0   64261.0   277.0 -1.810163e-07    ...          NaN     316.0   \n",
       "333329     1.0   54054.0     3.0  2.854426e-07    ...          NaN     124.0   \n",
       "333330   107.0   21546.0   293.0 -2.812960e-08    ...          NaN     254.0   \n",
       "333331   107.0  111936.0   297.0 -3.350522e-06    ...          NaN     463.0   \n",
       "333332   107.0   49750.0   180.0 -7.673470e-10    ...          NaN     328.0   \n",
       "333333     NaN       NaN     NaN  1.940100e-09    ...          NaN       NaN   \n",
       "333334   107.0   64064.0   299.0 -8.374830e-07    ...          NaN     303.0   \n",
       "333335   107.0    4719.0   189.0 -7.605634e-11    ...          NaN     348.0   \n",
       "\n",
       "        alpha185  alpha186  alpha187    alpha188      alpha189   alpha190  \\\n",
       "0            NaN       NaN      2.13  128.221601  2.558333e-01 -11.899066   \n",
       "1            NaN       NaN      9.34 -100.000000  3.552714e-15  -9.605623   \n",
       "2            NaN       NaN      4.10  103.242753  3.963889e-01  -9.232006   \n",
       "3            NaN       NaN      4.97   87.660346  5.758333e-01  -9.267051   \n",
       "4            NaN       NaN       NaN         NaN           NaN        NaN   \n",
       "5            NaN       NaN      1.08  155.212223  2.977778e-01  -9.751322   \n",
       "6            NaN       NaN      7.81   90.000810  8.094444e-01  -8.579370   \n",
       "7            NaN       NaN      4.64   71.829828  4.472222e-01  -8.721542   \n",
       "8            NaN       NaN      5.97   93.165425  6.152778e-01  -8.984750   \n",
       "9            NaN       NaN      9.24   70.620436  1.026389e+00  -8.311806   \n",
       "10           NaN       NaN      5.23  134.419956  4.644444e-01  -9.361549   \n",
       "11           NaN       NaN      1.95   99.680350  3.488889e-01  -9.067292   \n",
       "12           NaN       NaN      1.66  106.364046  1.288889e-01  -8.928884   \n",
       "13           NaN       NaN     12.94  141.519548  1.315278e+00  -9.338116   \n",
       "14           NaN       NaN      0.67  131.437867  1.500000e-01 -11.135158   \n",
       "15           NaN       NaN      2.89  122.001859  3.016667e-01  -8.626218   \n",
       "16           NaN       NaN     10.46   95.988024  1.035000e+00  -8.798900   \n",
       "17           NaN       NaN      1.79  154.593279  2.055556e-01 -10.986103   \n",
       "18           NaN       NaN      4.98  125.768613  4.341667e-01  -9.372722   \n",
       "19           NaN       NaN      4.94   43.728880  8.272222e-01  -8.749756   \n",
       "20           NaN       NaN      5.65   69.671544  4.805556e-01 -10.341476   \n",
       "21           NaN       NaN      1.30  144.813611  2.763889e-01 -10.212139   \n",
       "22           NaN       NaN      1.45  162.481130  1.986111e-01 -10.500818   \n",
       "23           NaN       NaN     19.90   97.282457  1.614722e+00  -9.817962   \n",
       "24           NaN       NaN      0.40  188.440400  9.638889e-02 -10.889267   \n",
       "25           NaN       NaN      7.93  139.979646  8.000000e-01  -9.789805   \n",
       "26           NaN       NaN     25.36   97.869826  2.249167e+00 -10.856881   \n",
       "27           NaN       NaN      0.90  161.664412  1.777778e-01 -10.777327   \n",
       "28           NaN       NaN      2.65   89.441831  7.358333e-01  -9.245898   \n",
       "29           NaN       NaN      0.00         NaN  1.776357e-15        NaN   \n",
       "...          ...       ...       ...         ...           ...        ...   \n",
       "333306       NaN       NaN      0.28  -15.894026  6.666667e-02 -14.061211   \n",
       "333307       NaN       NaN      0.33  -47.801872  2.027778e-02 -13.858244   \n",
       "333308       NaN       NaN      0.70   58.788617  7.888889e-02 -11.817659   \n",
       "333309       NaN       NaN      0.60  -32.202968  2.277778e-02 -12.246197   \n",
       "333310       NaN       NaN      2.68  -31.586898  2.202778e-01  -9.879723   \n",
       "333311       NaN       NaN      0.16  -51.417829  2.277778e-02 -12.565442   \n",
       "333312       NaN       NaN      2.49  -23.859269  1.716667e-01 -11.450684   \n",
       "333313       NaN       NaN      0.49   -9.130556  1.100000e-01 -13.730526   \n",
       "333314       NaN       NaN      0.53  -28.395310  4.638889e-02 -14.163201   \n",
       "333315       NaN       NaN      1.83  -21.651439  1.505556e-01 -13.162543   \n",
       "333316       NaN       NaN      1.25  -30.352624  7.638889e-02 -10.231510   \n",
       "333317       NaN       NaN      0.42   -6.465276  1.333333e-02 -14.719953   \n",
       "333318       NaN       NaN      0.32   16.407734  2.000000e-02 -16.317592   \n",
       "333319       NaN       NaN      0.45  -44.764228  5.000000e-02 -13.832384   \n",
       "333320       NaN       NaN      0.32   64.230618  2.638889e-02 -15.172706   \n",
       "333321       NaN       NaN      1.05  -32.587149  8.388889e-02 -11.083659   \n",
       "333322       NaN       NaN      0.75   -1.728785  8.083333e-02 -15.421289   \n",
       "333323       NaN       NaN      0.30    2.846467  4.750000e-02 -14.599998   \n",
       "333324       NaN       NaN      1.98  -24.321898  6.222222e-02 -10.044716   \n",
       "333325       NaN       NaN      9.05  -13.058918  5.608333e-01 -12.315344   \n",
       "333326       NaN       NaN     31.60   77.393227  8.486111e-01  -9.142646   \n",
       "333327       NaN       NaN     11.68  -44.376751  9.658333e-01 -10.849971   \n",
       "333328       NaN       NaN      6.75  -25.761433  4.427778e-01 -14.160424   \n",
       "333329       NaN       NaN     19.60  -13.050540  1.681667e+00 -10.964737   \n",
       "333330       NaN       NaN      7.90  -18.136480  1.483611e+00 -10.475174   \n",
       "333331       NaN       NaN     23.29  -28.699377  1.501111e+00 -10.357768   \n",
       "333332       NaN       NaN      4.18  -49.182513  1.633333e-01 -11.698793   \n",
       "333333       NaN       NaN      2.79  -23.322306  2.080556e-01 -10.386483   \n",
       "333334       NaN       NaN     11.75  -10.648072  1.910556e+00 -11.304116   \n",
       "333335       NaN       NaN      0.65  -34.809161  1.208333e-01 -12.493727   \n",
       "\n",
       "            alpha191    target  \n",
       "0       2.640501e+01 -0.073590  \n",
       "1      -2.523952e-07  0.000000  \n",
       "2       1.424994e+01 -0.159937  \n",
       "3       5.236059e+00 -0.101224  \n",
       "4                NaN       NaN  \n",
       "5       6.675573e+00 -0.123885  \n",
       "6       2.469132e+01 -0.072541  \n",
       "7       1.930378e+01 -0.088353  \n",
       "8       1.961559e+01 -0.166887  \n",
       "9       2.082842e+01 -0.158562  \n",
       "10      1.382470e+01 -0.099042  \n",
       "11      1.725636e+01 -0.133987  \n",
       "12     -1.035634e-01 -0.065060  \n",
       "13      2.527618e+00 -0.150460  \n",
       "14      1.279595e+01 -0.083179  \n",
       "15      1.161197e+00 -0.110193  \n",
       "16      4.433935e+00  0.000000  \n",
       "17      3.308467e+00 -0.082653  \n",
       "18      5.886652e+00 -0.072389  \n",
       "19      1.864166e+01 -0.161421  \n",
       "20      4.645282e+00 -0.187898  \n",
       "21      2.426113e+00 -0.133616  \n",
       "22      1.011863e+01 -0.071836  \n",
       "23      1.802464e+01 -0.062162  \n",
       "24      7.884189e+00 -0.112644  \n",
       "25      1.554069e+01 -0.081040  \n",
       "26      3.761602e+01 -0.083705  \n",
       "27      5.954545e+00 -0.107285  \n",
       "28      2.270498e+01 -0.225989  \n",
       "29               NaN  0.000000  \n",
       "...              ...       ...  \n",
       "333306 -4.593800e-01 -0.051020  \n",
       "333307  8.051953e-01 -0.011834  \n",
       "333308 -7.378342e-01  0.017241  \n",
       "333309 -5.810104e-01  0.017632  \n",
       "333310  9.036093e-01  0.025840  \n",
       "333311 -1.481665e-02 -0.033019  \n",
       "333312  1.281060e+00  0.035526  \n",
       "333313  7.643060e-01 -0.036309  \n",
       "333314  1.511960e-01 -0.010033  \n",
       "333315 -8.992736e-01 -0.017986  \n",
       "333316  8.161265e-01 -0.048832  \n",
       "333317  6.081910e-02 -0.011257  \n",
       "333318  9.303704e-01  0.008380  \n",
       "333319 -2.223263e-01  0.009501  \n",
       "333320 -2.027157e-01  0.009615  \n",
       "333321  7.317055e-02 -0.066667  \n",
       "333322  5.683230e-01 -0.029091  \n",
       "333323  3.184782e-01 -0.018018  \n",
       "333324 -4.016736e-01 -0.036939  \n",
       "333325  2.087025e-01 -0.035267  \n",
       "333326 -2.342918e+00 -0.046638  \n",
       "333327 -1.725854e-01 -0.047946  \n",
       "333328  8.509764e-01 -0.053382  \n",
       "333329 -4.299187e+00 -0.011210  \n",
       "333330  3.283538e-01 -0.098503  \n",
       "333331  9.591412e-01 -0.080189  \n",
       "333332 -5.918995e-01 -0.028066  \n",
       "333333  7.594454e-01  0.001599  \n",
       "333334 -6.195094e-01 -0.116279  \n",
       "333335  5.899532e-01 -0.078431  \n",
       "\n",
       "[333336 rows x 182 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>name</th>\n",
       "      <th>alpha2</th>\n",
       "      <th>alpha3</th>\n",
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       "      <th>alpha183</th>\n",
       "      <th>alpha184</th>\n",
       "      <th>alpha185</th>\n",
       "      <th>alpha186</th>\n",
       "      <th>alpha187</th>\n",
       "      <th>alpha188</th>\n",
       "      <th>alpha189</th>\n",
       "      <th>alpha190</th>\n",
       "      <th>alpha191</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>-0.116667</td>\n",
       "      <td>-9.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.530931e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9045.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>-1.827606e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.13</td>\n",
       "      <td>128.221601</td>\n",
       "      <td>2.558333e-01</td>\n",
       "      <td>-11.899066</td>\n",
       "      <td>2.640501e+01</td>\n",
       "      <td>-0.073590</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000002.SZ</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.668031e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.34</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>3.552714e-15</td>\n",
       "      <td>-9.605623</td>\n",
       "      <td>-2.523952e-07</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000008.SZ</td>\n",
       "      <td>0.957348</td>\n",
       "      <td>-8.300000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.398115e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.10</td>\n",
       "      <td>103.242753</td>\n",
       "      <td>3.963889e-01</td>\n",
       "      <td>-9.232006</td>\n",
       "      <td>1.424994e+01</td>\n",
       "      <td>-0.159937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000009.SZ</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-3.150000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.036961e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>16240.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>-9.880921e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.97</td>\n",
       "      <td>87.660346</td>\n",
       "      <td>5.758333e-01</td>\n",
       "      <td>-9.267051</td>\n",
       "      <td>5.236059e+00</td>\n",
       "      <td>-0.101224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000024.SZ</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.055413e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000027.SZ</td>\n",
       "      <td>0.170068</td>\n",
       "      <td>-1.490000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.003267e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>69136.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>-7.659751e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.08</td>\n",
       "      <td>155.212223</td>\n",
       "      <td>2.977778e-01</td>\n",
       "      <td>-9.751322</td>\n",
       "      <td>6.675573e+00</td>\n",
       "      <td>-0.123885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000039.SZ</td>\n",
       "      <td>0.045221</td>\n",
       "      <td>-3.970000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.905694e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>27810.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>-6.459548e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.81</td>\n",
       "      <td>90.000810</td>\n",
       "      <td>8.094444e-01</td>\n",
       "      <td>-8.579370</td>\n",
       "      <td>2.469132e+01</td>\n",
       "      <td>-0.072541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000046.SZ</td>\n",
       "      <td>0.111137</td>\n",
       "      <td>-1.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.711232e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>7038.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>-2.928908e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.64</td>\n",
       "      <td>71.829828</td>\n",
       "      <td>4.472222e-01</td>\n",
       "      <td>-8.721542</td>\n",
       "      <td>1.930378e+01</td>\n",
       "      <td>-0.088353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000060.SZ</td>\n",
       "      <td>0.228571</td>\n",
       "      <td>-2.400000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9324.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>-8.483780e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.97</td>\n",
       "      <td>93.165425</td>\n",
       "      <td>6.152778e-01</td>\n",
       "      <td>-8.984750</td>\n",
       "      <td>1.961559e+01</td>\n",
       "      <td>-0.166887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000061.SZ</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>-4.670000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.750000e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>11438.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>-2.492997e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.24</td>\n",
       "      <td>70.620436</td>\n",
       "      <td>1.026389e+00</td>\n",
       "      <td>-8.311806</td>\n",
       "      <td>2.082842e+01</td>\n",
       "      <td>-0.158562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000063.SZ</td>\n",
       "      <td>0.013031</td>\n",
       "      <td>-2.350000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.678053e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>126456.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>-1.208779e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.23</td>\n",
       "      <td>134.419956</td>\n",
       "      <td>4.644444e-01</td>\n",
       "      <td>-9.361549</td>\n",
       "      <td>1.382470e+01</td>\n",
       "      <td>-0.099042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000069.SZ</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>-1.570000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68448.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>-3.282336e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>99.680350</td>\n",
       "      <td>3.488889e-01</td>\n",
       "      <td>-9.067292</td>\n",
       "      <td>1.725636e+01</td>\n",
       "      <td>-0.133987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000100.SZ</td>\n",
       "      <td>0.129199</td>\n",
       "      <td>-5.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-1.589163e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.66</td>\n",
       "      <td>106.364046</td>\n",
       "      <td>1.288889e-01</td>\n",
       "      <td>-8.928884</td>\n",
       "      <td>-1.035634e-01</td>\n",
       "      <td>-0.065060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000156.SZ</td>\n",
       "      <td>-0.004808</td>\n",
       "      <td>-6.170000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.900980e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68816.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>-1.722796e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>495.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.94</td>\n",
       "      <td>141.519548</td>\n",
       "      <td>1.315278e+00</td>\n",
       "      <td>-9.338116</td>\n",
       "      <td>2.527618e+00</td>\n",
       "      <td>-0.150460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000157.SZ</td>\n",
       "      <td>-0.047619</td>\n",
       "      <td>-6.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.288281e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>18880.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>-4.614440e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>131.437867</td>\n",
       "      <td>1.500000e-01</td>\n",
       "      <td>-11.135158</td>\n",
       "      <td>1.279595e+01</td>\n",
       "      <td>-0.083179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000166.SZ</td>\n",
       "      <td>0.125799</td>\n",
       "      <td>-1.420000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.401681e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>63750.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>-4.494364e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>122.001859</td>\n",
       "      <td>3.016667e-01</td>\n",
       "      <td>-8.626218</td>\n",
       "      <td>1.161197e+00</td>\n",
       "      <td>-0.110193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000333.SZ</td>\n",
       "      <td>0.425371</td>\n",
       "      <td>-2.300000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12496.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-8.409500e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.46</td>\n",
       "      <td>95.988024</td>\n",
       "      <td>1.035000e+00</td>\n",
       "      <td>-8.798900</td>\n",
       "      <td>4.433935e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000338.SZ</td>\n",
       "      <td>-0.070122</td>\n",
       "      <td>-1.140000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.071068e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>60950.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>-4.339831e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>154.593279</td>\n",
       "      <td>2.055556e-01</td>\n",
       "      <td>-10.986103</td>\n",
       "      <td>3.308467e+00</td>\n",
       "      <td>-0.082653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000400.SZ</td>\n",
       "      <td>0.422969</td>\n",
       "      <td>-1.310000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.759001e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42813.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>-2.589300e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.98</td>\n",
       "      <td>125.768613</td>\n",
       "      <td>4.341667e-01</td>\n",
       "      <td>-9.372722</td>\n",
       "      <td>5.886652e+00</td>\n",
       "      <td>-0.072389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000402.SZ</td>\n",
       "      <td>0.015693</td>\n",
       "      <td>-2.510000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>13875.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>-4.087701e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.94</td>\n",
       "      <td>43.728880</td>\n",
       "      <td>8.272222e-01</td>\n",
       "      <td>-8.749756</td>\n",
       "      <td>1.864166e+01</td>\n",
       "      <td>-0.161421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000408.SZ</td>\n",
       "      <td>0.580645</td>\n",
       "      <td>-2.180000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.802846e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.65</td>\n",
       "      <td>69.671544</td>\n",
       "      <td>4.805556e-01</td>\n",
       "      <td>-10.341476</td>\n",
       "      <td>4.645282e+00</td>\n",
       "      <td>-0.187898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000413.SZ</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-1.360000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.100420e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>52371.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>-3.811492e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.30</td>\n",
       "      <td>144.813611</td>\n",
       "      <td>2.763889e-01</td>\n",
       "      <td>-10.212139</td>\n",
       "      <td>2.426113e+00</td>\n",
       "      <td>-0.133616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000415.SZ</td>\n",
       "      <td>1.158763</td>\n",
       "      <td>-1.260000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.076923e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>72782.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>-3.741352e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>162.481130</td>\n",
       "      <td>1.986111e-01</td>\n",
       "      <td>-10.500818</td>\n",
       "      <td>1.011863e+01</td>\n",
       "      <td>-0.071836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000423.SZ</td>\n",
       "      <td>0.343994</td>\n",
       "      <td>-6.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.728716e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71526.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>-2.172974e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19.90</td>\n",
       "      <td>97.282457</td>\n",
       "      <td>1.614722e+00</td>\n",
       "      <td>-9.817962</td>\n",
       "      <td>1.802464e+01</td>\n",
       "      <td>-0.062162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000425.SZ</td>\n",
       "      <td>0.701220</td>\n",
       "      <td>-4.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>80938.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-2.848270e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>188.440400</td>\n",
       "      <td>9.638889e-02</td>\n",
       "      <td>-10.889267</td>\n",
       "      <td>7.884189e+00</td>\n",
       "      <td>-0.112644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000503.SZ</td>\n",
       "      <td>0.263196</td>\n",
       "      <td>-5.850000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.345225e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56175.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>-1.028363e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.93</td>\n",
       "      <td>139.979646</td>\n",
       "      <td>8.000000e-01</td>\n",
       "      <td>-9.789805</td>\n",
       "      <td>1.554069e+01</td>\n",
       "      <td>-0.081040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000538.SZ</td>\n",
       "      <td>-0.107451</td>\n",
       "      <td>-8.450000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.128709e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71027.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>-1.899783e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.36</td>\n",
       "      <td>97.869826</td>\n",
       "      <td>2.249167e+00</td>\n",
       "      <td>-10.856881</td>\n",
       "      <td>3.761602e+01</td>\n",
       "      <td>-0.083705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000539.SZ</td>\n",
       "      <td>0.303922</td>\n",
       "      <td>-8.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.182179e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>25480.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-9.765854e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>161.664412</td>\n",
       "      <td>1.777778e-01</td>\n",
       "      <td>-10.777327</td>\n",
       "      <td>5.954545e+00</td>\n",
       "      <td>-0.107285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000540.SZ</td>\n",
       "      <td>-0.020833</td>\n",
       "      <td>-1.960000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.961161e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3350.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>-2.481670e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.65</td>\n",
       "      <td>89.441831</td>\n",
       "      <td>7.358333e-01</td>\n",
       "      <td>-9.245898</td>\n",
       "      <td>2.270498e+01</td>\n",
       "      <td>-0.225989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20160104</td>\n",
       "      <td>000553.SZ</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.776357e-15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333306</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601898.SH</td>\n",
       "      <td>-0.857143</td>\n",
       "      <td>-1.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>107.0</td>\n",
       "      <td>37269.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>-2.184294e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.28</td>\n",
       "      <td>-15.894026</td>\n",
       "      <td>6.666667e-02</td>\n",
       "      <td>-14.061211</td>\n",
       "      <td>-4.593800e-01</td>\n",
       "      <td>-0.051020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333307</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601899.SH</td>\n",
       "      <td>-1.750000</td>\n",
       "      <td>-4.440892e-16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.540168e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1332.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>-9.350132e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.33</td>\n",
       "      <td>-47.801872</td>\n",
       "      <td>2.027778e-02</td>\n",
       "      <td>-13.858244</td>\n",
       "      <td>8.051953e-01</td>\n",
       "      <td>-0.011834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333308</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601901.SH</td>\n",
       "      <td>-0.974545</td>\n",
       "      <td>9.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.841880e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42771.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>3.613766e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>58.788617</td>\n",
       "      <td>7.888889e-02</td>\n",
       "      <td>-11.817659</td>\n",
       "      <td>-7.378342e-01</td>\n",
       "      <td>0.017241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333309</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601919.SH</td>\n",
       "      <td>-0.750000</td>\n",
       "      <td>1.100000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-7.881104e-02</td>\n",
       "      <td>107.0</td>\n",
       "      <td>13904.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>5.011643e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.60</td>\n",
       "      <td>-32.202968</td>\n",
       "      <td>2.277778e-02</td>\n",
       "      <td>-12.246197</td>\n",
       "      <td>-5.810104e-01</td>\n",
       "      <td>0.017632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333310</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601928.SH</td>\n",
       "      <td>-0.166275</td>\n",
       "      <td>3.600000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.759001e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.286627e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.68</td>\n",
       "      <td>-31.586898</td>\n",
       "      <td>2.202778e-01</td>\n",
       "      <td>-9.879723</td>\n",
       "      <td>9.036093e-01</td>\n",
       "      <td>0.025840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333311</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601929.SH</td>\n",
       "      <td>-0.666667</td>\n",
       "      <td>-1.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.510033e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.498561e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-51.417829</td>\n",
       "      <td>2.277778e-02</td>\n",
       "      <td>-12.565442</td>\n",
       "      <td>-1.481665e-02</td>\n",
       "      <td>-0.033019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333312</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601933.SH</td>\n",
       "      <td>-0.511312</td>\n",
       "      <td>6.600000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.790491e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9646.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>4.331414e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.49</td>\n",
       "      <td>-23.859269</td>\n",
       "      <td>1.716667e-01</td>\n",
       "      <td>-11.450684</td>\n",
       "      <td>1.281060e+00</td>\n",
       "      <td>0.035526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333313</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601939.SH</td>\n",
       "      <td>-1.269841</td>\n",
       "      <td>-2.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.905694e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-9.026330e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>-9.130556</td>\n",
       "      <td>1.100000e-01</td>\n",
       "      <td>-13.730526</td>\n",
       "      <td>7.643060e-01</td>\n",
       "      <td>-0.036309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333314</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601958.SH</td>\n",
       "      <td>-0.477273</td>\n",
       "      <td>-2.300000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.884899e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-6.753157e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-28.395310</td>\n",
       "      <td>4.638889e-02</td>\n",
       "      <td>-14.163201</td>\n",
       "      <td>1.511960e-01</td>\n",
       "      <td>-0.010033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333315</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601966.SH</td>\n",
       "      <td>-1.355897</td>\n",
       "      <td>-5.600000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.720618e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.049985e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.83</td>\n",
       "      <td>-21.651439</td>\n",
       "      <td>1.505556e-01</td>\n",
       "      <td>-13.162543</td>\n",
       "      <td>-8.992736e-01</td>\n",
       "      <td>-0.017986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333316</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601969.SH</td>\n",
       "      <td>-0.800000</td>\n",
       "      <td>-6.000000e-02</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-9.525793e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.954694e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>-30.352624</td>\n",
       "      <td>7.638889e-02</td>\n",
       "      <td>-10.231510</td>\n",
       "      <td>8.161265e-01</td>\n",
       "      <td>-0.048832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333317</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601985.SH</td>\n",
       "      <td>-0.920635</td>\n",
       "      <td>1.000000e-02</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.728716e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>42579.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>-2.409300e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>452.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-6.465276</td>\n",
       "      <td>1.333333e-02</td>\n",
       "      <td>-14.719953</td>\n",
       "      <td>6.081910e-02</td>\n",
       "      <td>-0.011257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333318</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601988.SH</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>1.200000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.500000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1926.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2.278494e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>16.407734</td>\n",
       "      <td>2.000000e-02</td>\n",
       "      <td>-16.317592</td>\n",
       "      <td>9.303704e-01</td>\n",
       "      <td>0.008380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333319</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601989.SH</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-3.626203e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11385.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>1.546327e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>418.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-44.764228</td>\n",
       "      <td>5.000000e-02</td>\n",
       "      <td>-13.832384</td>\n",
       "      <td>-2.223263e-01</td>\n",
       "      <td>0.009501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333320</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601991.SH</td>\n",
       "      <td>-0.303030</td>\n",
       "      <td>8.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.635231e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>37808.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>6.347656e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>64.230618</td>\n",
       "      <td>2.638889e-02</td>\n",
       "      <td>-15.172706</td>\n",
       "      <td>-2.027157e-01</td>\n",
       "      <td>0.009615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333321</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601992.SH</td>\n",
       "      <td>-0.071429</td>\n",
       "      <td>-2.900000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.961161e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>-5.866498e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.05</td>\n",
       "      <td>-32.587149</td>\n",
       "      <td>8.388889e-02</td>\n",
       "      <td>-11.083659</td>\n",
       "      <td>7.317055e-02</td>\n",
       "      <td>-0.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333322</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601997.SH</td>\n",
       "      <td>-1.384615</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>107.0</td>\n",
       "      <td>31944.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>-2.285733e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>-1.728785</td>\n",
       "      <td>8.083333e-02</td>\n",
       "      <td>-15.421289</td>\n",
       "      <td>5.683230e-01</td>\n",
       "      <td>-0.029091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333323</th>\n",
       "      <td>20181228</td>\n",
       "      <td>601998.SH</td>\n",
       "      <td>-1.305556</td>\n",
       "      <td>1.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.717719e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28014.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>4.178643e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.30</td>\n",
       "      <td>2.846467</td>\n",
       "      <td>4.750000e-02</td>\n",
       "      <td>-14.599998</td>\n",
       "      <td>3.184782e-01</td>\n",
       "      <td>-0.018018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333324</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603000.SH</td>\n",
       "      <td>-0.588235</td>\n",
       "      <td>-6.000000e-02</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.546501e-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.889776e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.98</td>\n",
       "      <td>-24.321898</td>\n",
       "      <td>6.222222e-02</td>\n",
       "      <td>-10.044716</td>\n",
       "      <td>-4.016736e-01</td>\n",
       "      <td>-0.036939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333325</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603156.SH</td>\n",
       "      <td>-0.250000</td>\n",
       "      <td>-1.860000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.276459e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>107163.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>-4.612297e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.05</td>\n",
       "      <td>-13.058918</td>\n",
       "      <td>5.608333e-01</td>\n",
       "      <td>-12.315344</td>\n",
       "      <td>2.087025e-01</td>\n",
       "      <td>-0.035267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333326</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603160.SH</td>\n",
       "      <td>-0.566917</td>\n",
       "      <td>-4.470000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.875000e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>67275.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>-8.598141e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31.60</td>\n",
       "      <td>77.393227</td>\n",
       "      <td>8.486111e-01</td>\n",
       "      <td>-9.142646</td>\n",
       "      <td>-2.342918e+00</td>\n",
       "      <td>-0.046638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333327</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603259.SH</td>\n",
       "      <td>-1.012755</td>\n",
       "      <td>3.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.156630e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>53165.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>-2.515946e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.68</td>\n",
       "      <td>-44.376751</td>\n",
       "      <td>9.658333e-01</td>\n",
       "      <td>-10.849971</td>\n",
       "      <td>-1.725854e-01</td>\n",
       "      <td>-0.047946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333328</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603260.SH</td>\n",
       "      <td>-0.548450</td>\n",
       "      <td>-2.270000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.985957e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>64261.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>-1.810163e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.75</td>\n",
       "      <td>-25.761433</td>\n",
       "      <td>4.427778e-01</td>\n",
       "      <td>-14.160424</td>\n",
       "      <td>8.509764e-01</td>\n",
       "      <td>-0.053382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333329</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603288.SH</td>\n",
       "      <td>-0.491582</td>\n",
       "      <td>4.340000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-7.669650e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54054.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.854426e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19.60</td>\n",
       "      <td>-13.050540</td>\n",
       "      <td>1.681667e+00</td>\n",
       "      <td>-10.964737</td>\n",
       "      <td>-4.299187e+00</td>\n",
       "      <td>-0.011210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333330</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603799.SH</td>\n",
       "      <td>-1.164361</td>\n",
       "      <td>-4.040000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>107.0</td>\n",
       "      <td>21546.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>-2.812960e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.90</td>\n",
       "      <td>-18.136480</td>\n",
       "      <td>1.483611e+00</td>\n",
       "      <td>-10.475174</td>\n",
       "      <td>3.283538e-01</td>\n",
       "      <td>-0.098503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333331</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603833.SH</td>\n",
       "      <td>0.288645</td>\n",
       "      <td>-5.540000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.637626e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>111936.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>-3.350522e-06</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.29</td>\n",
       "      <td>-28.699377</td>\n",
       "      <td>1.501111e+00</td>\n",
       "      <td>-10.357768</td>\n",
       "      <td>9.591412e-01</td>\n",
       "      <td>-0.080189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333332</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603858.SH</td>\n",
       "      <td>-1.071429</td>\n",
       "      <td>-4.800000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.340766e-02</td>\n",
       "      <td>107.0</td>\n",
       "      <td>49750.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>-7.673470e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.18</td>\n",
       "      <td>-49.182513</td>\n",
       "      <td>1.633333e-01</td>\n",
       "      <td>-11.698793</td>\n",
       "      <td>-5.918995e-01</td>\n",
       "      <td>-0.028066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333333</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603885.SH</td>\n",
       "      <td>-0.048276</td>\n",
       "      <td>1.650000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-3.888889e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.940100e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.79</td>\n",
       "      <td>-23.322306</td>\n",
       "      <td>2.080556e-01</td>\n",
       "      <td>-10.386483</td>\n",
       "      <td>7.594454e-01</td>\n",
       "      <td>0.001599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333334</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603986.SH</td>\n",
       "      <td>-1.309565</td>\n",
       "      <td>-5.590000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.909903e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>64064.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>-8.374830e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.75</td>\n",
       "      <td>-10.648072</td>\n",
       "      <td>1.910556e+00</td>\n",
       "      <td>-11.304116</td>\n",
       "      <td>-6.195094e-01</td>\n",
       "      <td>-0.116279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333335</th>\n",
       "      <td>20181228</td>\n",
       "      <td>603993.SH</td>\n",
       "      <td>-0.460317</td>\n",
       "      <td>-3.800000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.336306e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>4719.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>-7.605634e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-34.809161</td>\n",
       "      <td>1.208333e-01</td>\n",
       "      <td>-12.493727</td>\n",
       "      <td>5.899532e-01</td>\n",
       "      <td>-0.078431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>333336 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date       name    alpha2        alpha3  alpha4        alpha5  \\\n",
       "0       20160104  000001.SZ -0.116667 -9.700000e-01     1.0  1.530931e-01   \n",
       "1       20160104  000002.SZ  0.000000  0.000000e+00    -1.0 -0.000000e+00   \n",
       "2       20160104  000008.SZ  0.957348 -8.300000e-01    -1.0 -4.803845e-01   \n",
       "3       20160104  000009.SZ  0.142857 -3.150000e+00     1.0 -9.036961e-01   \n",
       "4       20160104  000024.SZ  0.000000  0.000000e+00     0.0 -0.000000e+00   \n",
       "5       20160104  000027.SZ  0.170068 -1.490000e+00     1.0 -8.003267e-01   \n",
       "6       20160104  000039.SZ  0.045221 -3.970000e+00     1.0 -7.905694e-01   \n",
       "7       20160104  000046.SZ  0.111137 -1.290000e+00     1.0 -9.711232e-01   \n",
       "8       20160104  000060.SZ  0.228571 -2.400000e+00     1.0 -6.666667e-01   \n",
       "9       20160104  000061.SZ  0.269841 -4.670000e+00     1.0  3.750000e-01   \n",
       "10      20160104  000063.SZ  0.013031 -2.350000e+00     1.0 -9.678053e-01   \n",
       "11      20160104  000069.SZ  0.200000 -1.570000e+00     1.0 -1.000000e+00   \n",
       "12      20160104  000100.SZ  0.129199 -5.700000e-01     1.0 -1.000000e+00   \n",
       "13      20160104  000156.SZ -0.004808 -6.170000e+00     1.0 -4.900980e-01   \n",
       "14      20160104  000157.SZ -0.047619 -6.000000e-01     1.0 -6.288281e-01   \n",
       "15      20160104  000166.SZ  0.125799 -1.420000e+00     1.0 -8.401681e-01   \n",
       "16      20160104  000333.SZ  0.425371 -2.300000e+00    -1.0 -1.000000e+00   \n",
       "17      20160104  000338.SZ -0.070122 -1.140000e+00     1.0 -7.071068e-01   \n",
       "18      20160104  000400.SZ  0.422969 -1.310000e+00     1.0 -9.759001e-01   \n",
       "19      20160104  000402.SZ  0.015693 -2.510000e+00     1.0  0.000000e+00   \n",
       "20      20160104  000408.SZ  0.580645 -2.180000e+00     1.0 -4.803845e-01   \n",
       "21      20160104  000413.SZ -0.000000 -1.360000e+00     1.0 -2.100420e-01   \n",
       "22      20160104  000415.SZ  1.158763 -1.260000e+00    -1.0 -8.076923e-01   \n",
       "23      20160104  000423.SZ  0.343994 -6.290000e+00     1.0 -8.728716e-01   \n",
       "24      20160104  000425.SZ  0.701220 -4.700000e-01     1.0  1.666667e-01   \n",
       "25      20160104  000503.SZ  0.263196 -5.850000e+00     1.0 -5.345225e-01   \n",
       "26      20160104  000538.SZ -0.107451 -8.450000e+00     1.0 -9.128709e-01   \n",
       "27      20160104  000539.SZ  0.303922 -8.700000e-01     1.0 -2.182179e-01   \n",
       "28      20160104  000540.SZ -0.020833 -1.960000e+00     1.0  1.961161e-01   \n",
       "29      20160104  000553.SZ  0.000000  0.000000e+00     1.0  0.000000e+00   \n",
       "...          ...        ...       ...           ...     ...           ...   \n",
       "333306  20181228  601898.SH -0.857143 -1.700000e-01     1.0 -0.000000e+00   \n",
       "333307  20181228  601899.SH -1.750000 -4.440892e-16     1.0 -8.540168e-01   \n",
       "333308  20181228  601901.SH -0.974545  9.000000e-02     1.0 -3.841880e-01   \n",
       "333309  20181228  601919.SH -0.750000  1.100000e-01    -1.0 -7.881104e-02   \n",
       "333310  20181228  601928.SH -0.166275  3.600000e-01     1.0 -9.759001e-01   \n",
       "333311  20181228  601929.SH -0.666667 -1.000000e-02     1.0 -4.510033e-01   \n",
       "333312  20181228  601933.SH -0.511312  6.600000e-01    -1.0 -8.790491e-01   \n",
       "333313  20181228  601939.SH -1.269841 -2.000000e-02     1.0 -7.905694e-01   \n",
       "333314  20181228  601958.SH -0.477273 -2.300000e-01     1.0 -5.884899e-01   \n",
       "333315  20181228  601966.SH -1.355897 -5.600000e-01     1.0 -1.720618e-01   \n",
       "333316  20181228  601969.SH -0.800000 -6.000000e-02    -1.0 -9.525793e-01   \n",
       "333317  20181228  601985.SH -0.920635  1.000000e-02    -1.0 -8.728716e-01   \n",
       "333318  20181228  601988.SH -0.000000  1.200000e-01     1.0 -2.500000e-01   \n",
       "333319  20181228  601989.SH  0.428571  1.000000e-01    -1.0 -3.626203e-01   \n",
       "333320  20181228  601991.SH -0.303030  8.000000e-02     1.0 -2.635231e-01   \n",
       "333321  20181228  601992.SH -0.071429 -2.900000e-01    -1.0 -1.961161e-01   \n",
       "333322  20181228  601997.SH -1.384615 -2.000000e-01     1.0 -0.000000e+00   \n",
       "333323  20181228  601998.SH -1.305556  1.000000e-02     1.0 -5.717719e-01   \n",
       "333324  20181228  603000.SH -0.588235 -6.000000e-02    -1.0 -8.546501e-16   \n",
       "333325  20181228  603156.SH -0.250000 -1.860000e+00     1.0 -6.276459e-01   \n",
       "333326  20181228  603160.SH -0.566917 -4.470000e+00     1.0 -6.875000e-01   \n",
       "333327  20181228  603259.SH -1.012755  3.000000e-01     1.0 -1.156630e-01   \n",
       "333328  20181228  603260.SH -0.548450 -2.270000e+00     1.0 -7.985957e-01   \n",
       "333329  20181228  603288.SH -0.491582  4.340000e+00    -1.0 -7.669650e-01   \n",
       "333330  20181228  603799.SH -1.164361 -4.040000e+00     1.0  0.000000e+00   \n",
       "333331  20181228  603833.SH  0.288645 -5.540000e+00     1.0 -7.637626e-01   \n",
       "333332  20181228  603858.SH -1.071429 -4.800000e-01     1.0 -3.340766e-02   \n",
       "333333  20181228  603885.SH -0.048276  1.650000e+00    -1.0 -3.888889e-01   \n",
       "333334  20181228  603986.SH -1.309565 -5.590000e+00     1.0 -4.909903e-01   \n",
       "333335  20181228  603993.SH -0.460317 -3.800000e-01     1.0 -1.336306e-01   \n",
       "\n",
       "        alpha6    alpha7  alpha8        alpha9    ...     alpha183  alpha184  \\\n",
       "0         46.0    9045.0   112.0 -1.827606e-09    ...            0      93.0   \n",
       "1         36.0    1100.0    18.0  8.668031e-09    ...            0     202.0   \n",
       "2          0.0       0.0     0.0 -1.398115e-08    ...            0       0.0   \n",
       "3         46.0   16240.0   234.0 -9.880921e-09    ...            0     405.0   \n",
       "4          0.0       0.0     0.0  2.055413e-08    ...            0       0.0   \n",
       "5         46.0   69136.0   150.0 -7.659751e-09    ...            0     369.0   \n",
       "6         46.0   27810.0   264.0 -6.459548e-08    ...            0     408.0   \n",
       "7         46.0    7038.0   166.0 -2.928908e-08    ...            0     201.0   \n",
       "8         46.0    9324.0   174.0 -8.483780e-09    ...            0     369.0   \n",
       "9         46.0   11438.0   260.0 -2.492997e-08    ...            0     413.0   \n",
       "10        46.0  126456.0   184.0 -1.208779e-08    ...            0     216.0   \n",
       "11        46.0   68448.0   142.0 -3.282336e-09    ...            0     223.0   \n",
       "12        46.0    1864.0    66.0 -1.589163e-10    ...            0     128.0   \n",
       "13        46.0   68816.0   268.0 -1.722796e-07    ...            0     495.0   \n",
       "14        46.0   18880.0    69.0 -4.614440e-10    ...            0      57.0   \n",
       "15        46.0   63750.0   156.0 -4.494364e-09    ...            0     247.0   \n",
       "16         1.0   12496.0    30.0 -8.409500e-08    ...            0     332.0   \n",
       "17        46.0   60950.0   117.0 -4.339831e-09    ...            0     109.0   \n",
       "18         1.0   42813.0    72.0 -2.589300e-08    ...            0     348.0   \n",
       "19        46.0   13875.0   228.0 -4.087701e-09    ...            0     393.0   \n",
       "20         0.0       0.0     0.0 -8.802846e-08    ...            0       0.0   \n",
       "21        46.0   52371.0   133.0 -3.811492e-09    ...            0     353.0   \n",
       "22        46.0   72782.0    86.0 -3.741352e-09    ...            0     393.0   \n",
       "23        46.0   71526.0   275.0 -2.172974e-07    ...            0     480.0   \n",
       "24        46.0   80938.0    60.0 -2.848270e-10    ...            0     125.0   \n",
       "25         1.0   56175.0   212.0 -1.028363e-07    ...            0     384.0   \n",
       "26        46.0   71027.0   287.0 -1.899783e-06    ...            0     382.0   \n",
       "27        46.0   25480.0    95.0 -9.765854e-09    ...            0     103.0   \n",
       "28        46.0    3350.0   149.0 -2.481670e-09    ...            0     139.0   \n",
       "29         0.0       0.0     0.0  0.000000e+00    ...            0       0.0   \n",
       "...        ...       ...     ...           ...    ...          ...       ...   \n",
       "333306   107.0   37269.0   156.0 -2.184294e-10    ...            0     209.0   \n",
       "333307   107.0    1332.0   130.0 -9.350132e-12    ...            0     324.0   \n",
       "333308     1.0   42771.0    57.0  3.613766e-10    ...            0      79.0   \n",
       "333309   107.0   13904.0    94.0  5.011643e-11    ...            0     298.0   \n",
       "333310     0.0       0.0     0.0  7.286627e-10    ...            0       0.0   \n",
       "333311     0.0       0.0     0.0 -4.498561e-11    ...            0       0.0   \n",
       "333312     1.0    9646.0    29.0  4.331414e-10    ...            0     355.0   \n",
       "333313     1.0   54000.0    68.0 -9.026330e-12    ...            0     281.0   \n",
       "333314     0.0       0.0     0.0 -6.753157e-10    ...            0       0.0   \n",
       "333315     0.0       0.0     0.0 -3.049985e-09    ...            0       0.0   \n",
       "333316     0.0       0.0     0.0 -1.954694e-09    ...            0       0.0   \n",
       "333317   107.0   42579.0   135.0 -2.409300e-11    ...            0     452.0   \n",
       "333318     1.0    1926.0    70.0  2.278494e-12    ...            0     476.0   \n",
       "333319     1.0   11385.0    67.0  1.546327e-11    ...            0     418.0   \n",
       "333320   107.0   37808.0    82.0  6.347656e-11    ...            0     387.0   \n",
       "333321   107.0    9700.0   139.0 -5.866498e-11    ...            0     475.0   \n",
       "333322   107.0   31944.0   126.0 -2.285733e-10    ...            0     349.0   \n",
       "333323     1.0   28014.0    95.0  4.178643e-12    ...            0     210.0   \n",
       "333324     0.0       0.0     0.0 -3.889776e-10    ...            0       0.0   \n",
       "333325   107.0  107163.0   278.0 -4.612297e-07    ...            0     360.0   \n",
       "333326   107.0   67275.0   298.0 -8.598141e-07    ...            0      20.0   \n",
       "333327   107.0   53165.0   280.0 -2.515946e-07    ...            0     351.0   \n",
       "333328   107.0   64261.0   277.0 -1.810163e-07    ...            0     316.0   \n",
       "333329     1.0   54054.0     3.0  2.854426e-07    ...            0     124.0   \n",
       "333330   107.0   21546.0   293.0 -2.812960e-08    ...            0     254.0   \n",
       "333331   107.0  111936.0   297.0 -3.350522e-06    ...            0     463.0   \n",
       "333332   107.0   49750.0   180.0 -7.673470e-10    ...            0     328.0   \n",
       "333333     0.0       0.0     0.0  1.940100e-09    ...            0       0.0   \n",
       "333334   107.0   64064.0   299.0 -8.374830e-07    ...            0     303.0   \n",
       "333335   107.0    4719.0   189.0 -7.605634e-11    ...            0     348.0   \n",
       "\n",
       "        alpha185  alpha186  alpha187    alpha188      alpha189   alpha190  \\\n",
       "0              0         0      2.13  128.221601  2.558333e-01 -11.899066   \n",
       "1              0         0      9.34 -100.000000  3.552714e-15  -9.605623   \n",
       "2              0         0      4.10  103.242753  3.963889e-01  -9.232006   \n",
       "3              0         0      4.97   87.660346  5.758333e-01  -9.267051   \n",
       "4              0         0      0.00    0.000000  0.000000e+00   0.000000   \n",
       "5              0         0      1.08  155.212223  2.977778e-01  -9.751322   \n",
       "6              0         0      7.81   90.000810  8.094444e-01  -8.579370   \n",
       "7              0         0      4.64   71.829828  4.472222e-01  -8.721542   \n",
       "8              0         0      5.97   93.165425  6.152778e-01  -8.984750   \n",
       "9              0         0      9.24   70.620436  1.026389e+00  -8.311806   \n",
       "10             0         0      5.23  134.419956  4.644444e-01  -9.361549   \n",
       "11             0         0      1.95   99.680350  3.488889e-01  -9.067292   \n",
       "12             0         0      1.66  106.364046  1.288889e-01  -8.928884   \n",
       "13             0         0     12.94  141.519548  1.315278e+00  -9.338116   \n",
       "14             0         0      0.67  131.437867  1.500000e-01 -11.135158   \n",
       "15             0         0      2.89  122.001859  3.016667e-01  -8.626218   \n",
       "16             0         0     10.46   95.988024  1.035000e+00  -8.798900   \n",
       "17             0         0      1.79  154.593279  2.055556e-01 -10.986103   \n",
       "18             0         0      4.98  125.768613  4.341667e-01  -9.372722   \n",
       "19             0         0      4.94   43.728880  8.272222e-01  -8.749756   \n",
       "20             0         0      5.65   69.671544  4.805556e-01 -10.341476   \n",
       "21             0         0      1.30  144.813611  2.763889e-01 -10.212139   \n",
       "22             0         0      1.45  162.481130  1.986111e-01 -10.500818   \n",
       "23             0         0     19.90   97.282457  1.614722e+00  -9.817962   \n",
       "24             0         0      0.40  188.440400  9.638889e-02 -10.889267   \n",
       "25             0         0      7.93  139.979646  8.000000e-01  -9.789805   \n",
       "26             0         0     25.36   97.869826  2.249167e+00 -10.856881   \n",
       "27             0         0      0.90  161.664412  1.777778e-01 -10.777327   \n",
       "28             0         0      2.65   89.441831  7.358333e-01  -9.245898   \n",
       "29             0         0      0.00    0.000000  1.776357e-15   0.000000   \n",
       "...          ...       ...       ...         ...           ...        ...   \n",
       "333306         0         0      0.28  -15.894026  6.666667e-02 -14.061211   \n",
       "333307         0         0      0.33  -47.801872  2.027778e-02 -13.858244   \n",
       "333308         0         0      0.70   58.788617  7.888889e-02 -11.817659   \n",
       "333309         0         0      0.60  -32.202968  2.277778e-02 -12.246197   \n",
       "333310         0         0      2.68  -31.586898  2.202778e-01  -9.879723   \n",
       "333311         0         0      0.16  -51.417829  2.277778e-02 -12.565442   \n",
       "333312         0         0      2.49  -23.859269  1.716667e-01 -11.450684   \n",
       "333313         0         0      0.49   -9.130556  1.100000e-01 -13.730526   \n",
       "333314         0         0      0.53  -28.395310  4.638889e-02 -14.163201   \n",
       "333315         0         0      1.83  -21.651439  1.505556e-01 -13.162543   \n",
       "333316         0         0      1.25  -30.352624  7.638889e-02 -10.231510   \n",
       "333317         0         0      0.42   -6.465276  1.333333e-02 -14.719953   \n",
       "333318         0         0      0.32   16.407734  2.000000e-02 -16.317592   \n",
       "333319         0         0      0.45  -44.764228  5.000000e-02 -13.832384   \n",
       "333320         0         0      0.32   64.230618  2.638889e-02 -15.172706   \n",
       "333321         0         0      1.05  -32.587149  8.388889e-02 -11.083659   \n",
       "333322         0         0      0.75   -1.728785  8.083333e-02 -15.421289   \n",
       "333323         0         0      0.30    2.846467  4.750000e-02 -14.599998   \n",
       "333324         0         0      1.98  -24.321898  6.222222e-02 -10.044716   \n",
       "333325         0         0      9.05  -13.058918  5.608333e-01 -12.315344   \n",
       "333326         0         0     31.60   77.393227  8.486111e-01  -9.142646   \n",
       "333327         0         0     11.68  -44.376751  9.658333e-01 -10.849971   \n",
       "333328         0         0      6.75  -25.761433  4.427778e-01 -14.160424   \n",
       "333329         0         0     19.60  -13.050540  1.681667e+00 -10.964737   \n",
       "333330         0         0      7.90  -18.136480  1.483611e+00 -10.475174   \n",
       "333331         0         0     23.29  -28.699377  1.501111e+00 -10.357768   \n",
       "333332         0         0      4.18  -49.182513  1.633333e-01 -11.698793   \n",
       "333333         0         0      2.79  -23.322306  2.080556e-01 -10.386483   \n",
       "333334         0         0     11.75  -10.648072  1.910556e+00 -11.304116   \n",
       "333335         0         0      0.65  -34.809161  1.208333e-01 -12.493727   \n",
       "\n",
       "            alpha191    target  \n",
       "0       2.640501e+01 -0.073590  \n",
       "1      -2.523952e-07  0.000000  \n",
       "2       1.424994e+01 -0.159937  \n",
       "3       5.236059e+00 -0.101224  \n",
       "4       0.000000e+00  0.000000  \n",
       "5       6.675573e+00 -0.123885  \n",
       "6       2.469132e+01 -0.072541  \n",
       "7       1.930378e+01 -0.088353  \n",
       "8       1.961559e+01 -0.166887  \n",
       "9       2.082842e+01 -0.158562  \n",
       "10      1.382470e+01 -0.099042  \n",
       "11      1.725636e+01 -0.133987  \n",
       "12     -1.035634e-01 -0.065060  \n",
       "13      2.527618e+00 -0.150460  \n",
       "14      1.279595e+01 -0.083179  \n",
       "15      1.161197e+00 -0.110193  \n",
       "16      4.433935e+00  0.000000  \n",
       "17      3.308467e+00 -0.082653  \n",
       "18      5.886652e+00 -0.072389  \n",
       "19      1.864166e+01 -0.161421  \n",
       "20      4.645282e+00 -0.187898  \n",
       "21      2.426113e+00 -0.133616  \n",
       "22      1.011863e+01 -0.071836  \n",
       "23      1.802464e+01 -0.062162  \n",
       "24      7.884189e+00 -0.112644  \n",
       "25      1.554069e+01 -0.081040  \n",
       "26      3.761602e+01 -0.083705  \n",
       "27      5.954545e+00 -0.107285  \n",
       "28      2.270498e+01 -0.225989  \n",
       "29      0.000000e+00  0.000000  \n",
       "...              ...       ...  \n",
       "333306 -4.593800e-01 -0.051020  \n",
       "333307  8.051953e-01 -0.011834  \n",
       "333308 -7.378342e-01  0.017241  \n",
       "333309 -5.810104e-01  0.017632  \n",
       "333310  9.036093e-01  0.025840  \n",
       "333311 -1.481665e-02 -0.033019  \n",
       "333312  1.281060e+00  0.035526  \n",
       "333313  7.643060e-01 -0.036309  \n",
       "333314  1.511960e-01 -0.010033  \n",
       "333315 -8.992736e-01 -0.017986  \n",
       "333316  8.161265e-01 -0.048832  \n",
       "333317  6.081910e-02 -0.011257  \n",
       "333318  9.303704e-01  0.008380  \n",
       "333319 -2.223263e-01  0.009501  \n",
       "333320 -2.027157e-01  0.009615  \n",
       "333321  7.317055e-02 -0.066667  \n",
       "333322  5.683230e-01 -0.029091  \n",
       "333323  3.184782e-01 -0.018018  \n",
       "333324 -4.016736e-01 -0.036939  \n",
       "333325  2.087025e-01 -0.035267  \n",
       "333326 -2.342918e+00 -0.046638  \n",
       "333327 -1.725854e-01 -0.047946  \n",
       "333328  8.509764e-01 -0.053382  \n",
       "333329 -4.299187e+00 -0.011210  \n",
       "333330  3.283538e-01 -0.098503  \n",
       "333331  9.591412e-01 -0.080189  \n",
       "333332 -5.918995e-01 -0.028066  \n",
       "333333  7.594454e-01  0.001599  \n",
       "333334 -6.195094e-01 -0.116279  \n",
       "333335  5.899532e-01 -0.078431  \n",
       "\n",
       "[333336 rows x 182 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"\n",
      "C:\\Users\\Jimei\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(result)):\n",
    "    if result['target'][i]>0:\n",
    "        result['target'][i]=1\n",
    "    else:\n",
    "        result['target'][i]=0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv(\"data1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16e02418d68>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.heatmap(result.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=pd.read_csv('data1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=result.set_index([\"date\",\"name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>alpha2</th>\n",
       "      <th>alpha3</th>\n",
       "      <th>alpha4</th>\n",
       "      <th>alpha5</th>\n",
       "      <th>alpha6</th>\n",
       "      <th>alpha7</th>\n",
       "      <th>alpha8</th>\n",
       "      <th>alpha9</th>\n",
       "      <th>alpha10</th>\n",
       "      <th>...</th>\n",
       "      <th>alpha183</th>\n",
       "      <th>alpha184</th>\n",
       "      <th>alpha185</th>\n",
       "      <th>alpha186</th>\n",
       "      <th>alpha187</th>\n",
       "      <th>alpha188</th>\n",
       "      <th>alpha189</th>\n",
       "      <th>alpha190</th>\n",
       "      <th>alpha191</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">20160104</th>\n",
       "      <th>000001.SZ</th>\n",
       "      <td>0</td>\n",
       "      <td>-0.116667</td>\n",
       "      <td>-9.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.530931e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9045.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>-1.827606e-09</td>\n",
       "      <td>120.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.13</td>\n",
       "      <td>128.221601</td>\n",
       "      <td>2.558333e-01</td>\n",
       "      <td>-11.899066</td>\n",
       "      <td>2.640501e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000002.SZ</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.668031e-09</td>\n",
       "      <td>217.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.34</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>3.552714e-15</td>\n",
       "      <td>-9.605623</td>\n",
       "      <td>-2.523952e-07</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000008.SZ</th>\n",
       "      <td>2</td>\n",
       "      <td>0.957348</td>\n",
       "      <td>-8.300000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.398115e-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.10</td>\n",
       "      <td>103.242753</td>\n",
       "      <td>3.963889e-01</td>\n",
       "      <td>-9.232006</td>\n",
       "      <td>1.424994e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000009.SZ</th>\n",
       "      <td>3</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-3.150000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.036961e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>16240.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>-9.880921e-09</td>\n",
       "      <td>177.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>405.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.97</td>\n",
       "      <td>87.660346</td>\n",
       "      <td>5.758333e-01</td>\n",
       "      <td>-9.267051</td>\n",
       "      <td>5.236059e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000024.SZ</th>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.055413e-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000027.SZ</th>\n",
       "      <td>5</td>\n",
       "      <td>0.170068</td>\n",
       "      <td>-1.490000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.003267e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>69136.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>-7.659751e-09</td>\n",
       "      <td>104.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.08</td>\n",
       "      <td>155.212223</td>\n",
       "      <td>2.977778e-01</td>\n",
       "      <td>-9.751322</td>\n",
       "      <td>6.675573e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000039.SZ</th>\n",
       "      <td>6</td>\n",
       "      <td>0.045221</td>\n",
       "      <td>-3.970000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.905694e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>27810.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>-6.459548e-08</td>\n",
       "      <td>201.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>408.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.81</td>\n",
       "      <td>90.000810</td>\n",
       "      <td>8.094444e-01</td>\n",
       "      <td>-8.579370</td>\n",
       "      <td>2.469132e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000046.SZ</th>\n",
       "      <td>7</td>\n",
       "      <td>0.111137</td>\n",
       "      <td>-1.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.711232e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>7038.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>-2.928908e-08</td>\n",
       "      <td>129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.64</td>\n",
       "      <td>71.829828</td>\n",
       "      <td>4.472222e-01</td>\n",
       "      <td>-8.721542</td>\n",
       "      <td>1.930378e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000060.SZ</th>\n",
       "      <td>8</td>\n",
       "      <td>0.228571</td>\n",
       "      <td>-2.400000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>9324.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>-8.483780e-09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.97</td>\n",
       "      <td>93.165425</td>\n",
       "      <td>6.152778e-01</td>\n",
       "      <td>-8.984750</td>\n",
       "      <td>1.961559e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000061.SZ</th>\n",
       "      <td>9</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>-4.670000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.750000e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>11438.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>-2.492997e-08</td>\n",
       "      <td>176.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>413.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.24</td>\n",
       "      <td>70.620436</td>\n",
       "      <td>1.026389e+00</td>\n",
       "      <td>-8.311806</td>\n",
       "      <td>2.082842e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000063.SZ</th>\n",
       "      <td>10</td>\n",
       "      <td>0.013031</td>\n",
       "      <td>-2.350000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.678053e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>126456.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>-1.208779e-08</td>\n",
       "      <td>182.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.23</td>\n",
       "      <td>134.419956</td>\n",
       "      <td>4.644444e-01</td>\n",
       "      <td>-9.361549</td>\n",
       "      <td>1.382470e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000069.SZ</th>\n",
       "      <td>11</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>-1.570000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68448.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>-3.282336e-09</td>\n",
       "      <td>85.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.95</td>\n",
       "      <td>99.680350</td>\n",
       "      <td>3.488889e-01</td>\n",
       "      <td>-9.067292</td>\n",
       "      <td>1.725636e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000100.SZ</th>\n",
       "      <td>12</td>\n",
       "      <td>0.129199</td>\n",
       "      <td>-5.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-1.589163e-10</td>\n",
       "      <td>27.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.66</td>\n",
       "      <td>106.364046</td>\n",
       "      <td>1.288889e-01</td>\n",
       "      <td>-8.928884</td>\n",
       "      <td>-1.035634e-01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000156.SZ</th>\n",
       "      <td>13</td>\n",
       "      <td>-0.004808</td>\n",
       "      <td>-6.170000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.900980e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>68816.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>-1.722796e-07</td>\n",
       "      <td>252.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>495.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.94</td>\n",
       "      <td>141.519548</td>\n",
       "      <td>1.315278e+00</td>\n",
       "      <td>-9.338116</td>\n",
       "      <td>2.527618e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000157.SZ</th>\n",
       "      <td>14</td>\n",
       "      <td>-0.047619</td>\n",
       "      <td>-6.000000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.288281e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>18880.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>-4.614440e-10</td>\n",
       "      <td>40.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.67</td>\n",
       "      <td>131.437867</td>\n",
       "      <td>1.500000e-01</td>\n",
       "      <td>-11.135158</td>\n",
       "      <td>1.279595e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000166.SZ</th>\n",
       "      <td>15</td>\n",
       "      <td>0.125799</td>\n",
       "      <td>-1.420000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.401681e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>63750.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>-4.494364e-09</td>\n",
       "      <td>113.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>247.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.89</td>\n",
       "      <td>122.001859</td>\n",
       "      <td>3.016667e-01</td>\n",
       "      <td>-8.626218</td>\n",
       "      <td>1.161197e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000333.SZ</th>\n",
       "      <td>16</td>\n",
       "      <td>0.425371</td>\n",
       "      <td>-2.300000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12496.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-8.409500e-08</td>\n",
       "      <td>250.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>332.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.46</td>\n",
       "      <td>95.988024</td>\n",
       "      <td>1.035000e+00</td>\n",
       "      <td>-8.798900</td>\n",
       "      <td>4.433935e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000338.SZ</th>\n",
       "      <td>17</td>\n",
       "      <td>-0.070122</td>\n",
       "      <td>-1.140000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.071068e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>60950.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>-4.339831e-09</td>\n",
       "      <td>100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.79</td>\n",
       "      <td>154.593279</td>\n",
       "      <td>2.055556e-01</td>\n",
       "      <td>-10.986103</td>\n",
       "      <td>3.308467e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000400.SZ</th>\n",
       "      <td>18</td>\n",
       "      <td>0.422969</td>\n",
       "      <td>-1.310000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.759001e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42813.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>-2.589300e-08</td>\n",
       "      <td>185.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>348.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.98</td>\n",
       "      <td>125.768613</td>\n",
       "      <td>4.341667e-01</td>\n",
       "      <td>-9.372722</td>\n",
       "      <td>5.886652e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000402.SZ</th>\n",
       "      <td>19</td>\n",
       "      <td>0.015693</td>\n",
       "      <td>-2.510000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>13875.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>-4.087701e-09</td>\n",
       "      <td>122.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.94</td>\n",
       "      <td>43.728880</td>\n",
       "      <td>8.272222e-01</td>\n",
       "      <td>-8.749756</td>\n",
       "      <td>1.864166e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000408.SZ</th>\n",
       "      <td>20</td>\n",
       "      <td>0.580645</td>\n",
       "      <td>-2.180000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.803845e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8.802846e-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.65</td>\n",
       "      <td>69.671544</td>\n",
       "      <td>4.805556e-01</td>\n",
       "      <td>-10.341476</td>\n",
       "      <td>4.645282e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000413.SZ</th>\n",
       "      <td>21</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-1.360000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.100420e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>52371.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>-3.811492e-09</td>\n",
       "      <td>89.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>353.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.30</td>\n",
       "      <td>144.813611</td>\n",
       "      <td>2.763889e-01</td>\n",
       "      <td>-10.212139</td>\n",
       "      <td>2.426113e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000415.SZ</th>\n",
       "      <td>22</td>\n",
       "      <td>1.158763</td>\n",
       "      <td>-1.260000e+00</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.076923e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>72782.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>-3.741352e-09</td>\n",
       "      <td>86.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.45</td>\n",
       "      <td>162.481130</td>\n",
       "      <td>1.986111e-01</td>\n",
       "      <td>-10.500818</td>\n",
       "      <td>1.011863e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000423.SZ</th>\n",
       "      <td>23</td>\n",
       "      <td>0.343994</td>\n",
       "      <td>-6.290000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.728716e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71526.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>-2.172974e-07</td>\n",
       "      <td>285.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>480.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.90</td>\n",
       "      <td>97.282457</td>\n",
       "      <td>1.614722e+00</td>\n",
       "      <td>-9.817962</td>\n",
       "      <td>1.802464e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000425.SZ</th>\n",
       "      <td>24</td>\n",
       "      <td>0.701220</td>\n",
       "      <td>-4.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.666667e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>80938.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-2.848270e-10</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>188.440400</td>\n",
       "      <td>9.638889e-02</td>\n",
       "      <td>-10.889267</td>\n",
       "      <td>7.884189e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000503.SZ</th>\n",
       "      <td>25</td>\n",
       "      <td>0.263196</td>\n",
       "      <td>-5.850000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.345225e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56175.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>-1.028363e-07</td>\n",
       "      <td>253.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>384.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.93</td>\n",
       "      <td>139.979646</td>\n",
       "      <td>8.000000e-01</td>\n",
       "      <td>-9.789805</td>\n",
       "      <td>1.554069e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000538.SZ</th>\n",
       "      <td>26</td>\n",
       "      <td>-0.107451</td>\n",
       "      <td>-8.450000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.128709e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71027.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>-1.899783e-06</td>\n",
       "      <td>296.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>382.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.36</td>\n",
       "      <td>97.869826</td>\n",
       "      <td>2.249167e+00</td>\n",
       "      <td>-10.856881</td>\n",
       "      <td>3.761602e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000539.SZ</th>\n",
       "      <td>27</td>\n",
       "      <td>0.303922</td>\n",
       "      <td>-8.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.182179e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>25480.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-9.765854e-09</td>\n",
       "      <td>69.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90</td>\n",
       "      <td>161.664412</td>\n",
       "      <td>1.777778e-01</td>\n",
       "      <td>-10.777327</td>\n",
       "      <td>5.954545e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000540.SZ</th>\n",
       "      <td>28</td>\n",
       "      <td>-0.020833</td>\n",
       "      <td>-1.960000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.961161e-01</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3350.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>-2.481670e-09</td>\n",
       "      <td>91.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.65</td>\n",
       "      <td>89.441831</td>\n",
       "      <td>7.358333e-01</td>\n",
       "      <td>-9.245898</td>\n",
       "      <td>2.270498e+01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000553.SZ</th>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.776357e-15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">20181228</th>\n",
       "      <th>601898.SH</th>\n",
       "      <td>333306</td>\n",
       "      <td>-0.857143</td>\n",
       "      <td>-1.700000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>107.0</td>\n",
       "      <td>37269.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>-2.184294e-10</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>209.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.28</td>\n",
       "      <td>-15.894026</td>\n",
       "      <td>6.666667e-02</td>\n",
       "      <td>-14.061211</td>\n",
       "      <td>-4.593800e-01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601899.SH</th>\n",
       "      <td>333307</td>\n",
       "      <td>-1.750000</td>\n",
       "      <td>-4.440892e-16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-8.540168e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1332.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>-9.350132e-12</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>324.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.33</td>\n",
       "      <td>-47.801872</td>\n",
       "      <td>2.027778e-02</td>\n",
       "      <td>-13.858244</td>\n",
       "      <td>8.051953e-01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601901.SH</th>\n",
       "      <td>333308</td>\n",
       "      <td>-0.974545</td>\n",
       "      <td>9.000000e-02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.841880e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42771.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>3.613766e-10</td>\n",
       "      <td>67.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.70</td>\n",
       "      <td>58.788617</td>\n",
       "      <td>7.888889e-02</td>\n",
       "      <td>-11.817659</td>\n",
       "      <td>-7.378342e-01</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601919.SH</th>\n",
       "      <td>333309</td>\n",
       "      <td>-0.750000</td>\n",
       "      <td>1.100000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-7.881104e-02</td>\n",
       "      <td>107.0</td>\n",
       "      <td>13904.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>5.011643e-11</td>\n",
       "      <td>41.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>298.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.60</td>\n",
       "      <td>-32.202968</td>\n",
       "      <td>2.277778e-02</td>\n",
       "      <td>-12.246197</td>\n",
       "      <td>-5.810104e-01</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601928.SH</th>\n",
       "      <td>333310</td>\n",
       "      <td>-0.166275</td>\n",
       "      <td>3.600000e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-9.759001e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.286627e-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.68</td>\n",
       "      <td>-31.586898</td>\n",
       "      <td>2.202778e-01</td>\n",
       "      <td>-9.879723</td>\n",
       "      <td>9.036093e-01</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601929.SH</th>\n",
       "      <td>333311</td>\n",
       "      <td>-0.666667</td>\n",
       "      <td>-1.000000e-02</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-4.498561e-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-51.417829</td>\n",
       "      <td>2.277778e-02</td>\n",
       "      <td>-12.565442</td>\n",
       "      <td>-1.481665e-02</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>601933.SH</th>\n",
       "      <td>333312</td>\n",
       "      <td>-0.511312</td>\n",
       "      <td>6.600000e-01</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.790491e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9646.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>4.331414e-10</td>\n",
       "      <td>119.0</td>\n",
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       "      <td>355.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.49</td>\n",
       "      <td>-23.859269</td>\n",
       "      <td>1.716667e-01</td>\n",
       "      <td>-11.450684</td>\n",
       "      <td>1.281060e+00</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>601939.SH</th>\n",
       "      <td>333313</td>\n",
       "      <td>-1.269841</td>\n",
       "      <td>-2.000000e-02</td>\n",
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       "      <td>-7.905694e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-9.026330e-12</td>\n",
       "      <td>85.0</td>\n",
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       "      <td>281.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>-9.130556</td>\n",
       "      <td>1.100000e-01</td>\n",
       "      <td>-13.730526</td>\n",
       "      <td>7.643060e-01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601958.SH</th>\n",
       "      <td>333314</td>\n",
       "      <td>-0.477273</td>\n",
       "      <td>-2.300000e-01</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-6.753157e-10</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.53</td>\n",
       "      <td>-28.395310</td>\n",
       "      <td>4.638889e-02</td>\n",
       "      <td>-14.163201</td>\n",
       "      <td>1.511960e-01</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>601966.SH</th>\n",
       "      <td>333315</td>\n",
       "      <td>-1.355897</td>\n",
       "      <td>-5.600000e-01</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-3.049985e-09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.83</td>\n",
       "      <td>-21.651439</td>\n",
       "      <td>1.505556e-01</td>\n",
       "      <td>-13.162543</td>\n",
       "      <td>-8.992736e-01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601969.SH</th>\n",
       "      <td>333316</td>\n",
       "      <td>-0.800000</td>\n",
       "      <td>-6.000000e-02</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-1.954694e-09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.25</td>\n",
       "      <td>-30.352624</td>\n",
       "      <td>7.638889e-02</td>\n",
       "      <td>-10.231510</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601985.SH</th>\n",
       "      <td>333317</td>\n",
       "      <td>-0.920635</td>\n",
       "      <td>1.000000e-02</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-8.728716e-01</td>\n",
       "      <td>107.0</td>\n",
       "      <td>42579.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>-2.409300e-11</td>\n",
       "      <td>66.0</td>\n",
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       "      <td>452.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>-6.465276</td>\n",
       "      <td>1.333333e-02</td>\n",
       "      <td>-14.719953</td>\n",
       "      <td>6.081910e-02</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>601988.SH</th>\n",
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       "         000503.SZ          25  0.263196 -5.850000e+00     1.0 -5.345225e-01   \n",
       "         000538.SZ          26 -0.107451 -8.450000e+00     1.0 -9.128709e-01   \n",
       "         000539.SZ          27  0.303922 -8.700000e-01     1.0 -2.182179e-01   \n",
       "         000540.SZ          28 -0.020833 -1.960000e+00     1.0  1.961161e-01   \n",
       "         000553.SZ          29       NaN  0.000000e+00     1.0           NaN   \n",
       "...                        ...       ...           ...     ...           ...   \n",
       "20181228 601898.SH      333306 -0.857143 -1.700000e-01     1.0 -0.000000e+00   \n",
       "         601899.SH      333307 -1.750000 -4.440892e-16     1.0 -8.540168e-01   \n",
       "         601901.SH      333308 -0.974545  9.000000e-02     1.0 -3.841880e-01   \n",
       "         601919.SH      333309 -0.750000  1.100000e-01    -1.0 -7.881104e-02   \n",
       "         601928.SH      333310 -0.166275  3.600000e-01     1.0 -9.759001e-01   \n",
       "         601929.SH      333311 -0.666667 -1.000000e-02     1.0 -4.510033e-01   \n",
       "         601933.SH      333312 -0.511312  6.600000e-01    -1.0 -8.790491e-01   \n",
       "         601939.SH      333313 -1.269841 -2.000000e-02     1.0 -7.905694e-01   \n",
       "         601958.SH      333314 -0.477273 -2.300000e-01     1.0 -5.884899e-01   \n",
       "         601966.SH      333315 -1.355897 -5.600000e-01     1.0 -1.720618e-01   \n",
       "         601969.SH      333316 -0.800000 -6.000000e-02    -1.0 -9.525793e-01   \n",
       "         601985.SH      333317 -0.920635  1.000000e-02    -1.0 -8.728716e-01   \n",
       "         601988.SH      333318 -0.000000  1.200000e-01     1.0 -2.500000e-01   \n",
       "         601989.SH      333319  0.428571  1.000000e-01    -1.0 -3.626203e-01   \n",
       "         601991.SH      333320 -0.303030  8.000000e-02     1.0 -2.635231e-01   \n",
       "         601992.SH      333321 -0.071429 -2.900000e-01    -1.0 -1.961161e-01   \n",
       "         601997.SH      333322 -1.384615 -2.000000e-01     1.0 -0.000000e+00   \n",
       "         601998.SH      333323 -1.305556  1.000000e-02     1.0 -5.717719e-01   \n",
       "         603000.SH      333324 -0.588235 -6.000000e-02    -1.0 -8.546501e-16   \n",
       "         603156.SH      333325 -0.250000 -1.860000e+00     1.0 -6.276459e-01   \n",
       "         603160.SH      333326 -0.566917 -4.470000e+00     1.0 -6.875000e-01   \n",
       "         603259.SH      333327 -1.012755  3.000000e-01     1.0 -1.156630e-01   \n",
       "         603260.SH      333328 -0.548450 -2.270000e+00     1.0 -7.985957e-01   \n",
       "         603288.SH      333329 -0.491582  4.340000e+00    -1.0 -7.669650e-01   \n",
       "         603799.SH      333330 -1.164361 -4.040000e+00     1.0           NaN   \n",
       "         603833.SH      333331  0.288645 -5.540000e+00     1.0 -7.637626e-01   \n",
       "         603858.SH      333332 -1.071429 -4.800000e-01     1.0 -3.340766e-02   \n",
       "         603885.SH      333333 -0.048276  1.650000e+00    -1.0 -3.888889e-01   \n",
       "         603986.SH      333334 -1.309565 -5.590000e+00     1.0 -4.909903e-01   \n",
       "         603993.SH      333335 -0.460317 -3.800000e-01     1.0 -1.336306e-01   \n",
       "\n",
       "                    alpha6    alpha7  alpha8        alpha9  alpha10   ...    \\\n",
       "date     name                                                         ...     \n",
       "20160104 000001.SZ    46.0    9045.0   112.0 -1.827606e-09    120.0   ...     \n",
       "         000002.SZ    36.0    1100.0    18.0  8.668031e-09    217.0   ...     \n",
       "         000008.SZ     NaN       NaN     NaN -1.398115e-08      NaN   ...     \n",
       "         000009.SZ    46.0   16240.0   234.0 -9.880921e-09    177.0   ...     \n",
       "         000024.SZ     NaN       NaN     NaN  2.055413e-08      NaN   ...     \n",
       "         000027.SZ    46.0   69136.0   150.0 -7.659751e-09    104.0   ...     \n",
       "         000039.SZ    46.0   27810.0   264.0 -6.459548e-08    201.0   ...     \n",
       "         000046.SZ    46.0    7038.0   166.0 -2.928908e-08    129.0   ...     \n",
       "         000060.SZ    46.0    9324.0   174.0 -8.483780e-09    140.0   ...     \n",
       "         000061.SZ    46.0   11438.0   260.0 -2.492997e-08    176.0   ...     \n",
       "         000063.SZ    46.0  126456.0   184.0 -1.208779e-08    182.0   ...     \n",
       "         000069.SZ    46.0   68448.0   142.0 -3.282336e-09     85.0   ...     \n",
       "         000100.SZ    46.0    1864.0    66.0 -1.589163e-10     27.0   ...     \n",
       "         000156.SZ    46.0   68816.0   268.0 -1.722796e-07    252.0   ...     \n",
       "         000157.SZ    46.0   18880.0    69.0 -4.614440e-10     40.0   ...     \n",
       "         000166.SZ    46.0   63750.0   156.0 -4.494364e-09    113.0   ...     \n",
       "         000333.SZ     1.0   12496.0    30.0 -8.409500e-08    250.0   ...     \n",
       "         000338.SZ    46.0   60950.0   117.0 -4.339831e-09    100.0   ...     \n",
       "         000400.SZ     1.0   42813.0    72.0 -2.589300e-08    185.0   ...     \n",
       "         000402.SZ    46.0   13875.0   228.0 -4.087701e-09    122.0   ...     \n",
       "         000408.SZ     NaN       NaN     NaN -8.802846e-08      NaN   ...     \n",
       "         000413.SZ    46.0   52371.0   133.0 -3.811492e-09     89.0   ...     \n",
       "         000415.SZ    46.0   72782.0    86.0 -3.741352e-09     86.0   ...     \n",
       "         000423.SZ    46.0   71526.0   275.0 -2.172974e-07    285.0   ...     \n",
       "         000425.SZ    46.0   80938.0    60.0 -2.848270e-10     26.0   ...     \n",
       "         000503.SZ     1.0   56175.0   212.0 -1.028363e-07    253.0   ...     \n",
       "         000538.SZ    46.0   71027.0   287.0 -1.899783e-06    296.0   ...     \n",
       "         000539.SZ    46.0   25480.0    95.0 -9.765854e-09     69.0   ...     \n",
       "         000540.SZ    46.0    3350.0   149.0 -2.481670e-09     91.0   ...     \n",
       "         000553.SZ     NaN       NaN     NaN           NaN      NaN   ...     \n",
       "...                    ...       ...     ...           ...      ...   ...     \n",
       "20181228 601898.SH   107.0   37269.0   156.0 -2.184294e-10     50.0   ...     \n",
       "         601899.SH   107.0    1332.0   130.0 -9.350132e-12     26.0   ...     \n",
       "         601901.SH     1.0   42771.0    57.0  3.613766e-10     67.0   ...     \n",
       "         601919.SH   107.0   13904.0    94.0  5.011643e-11     41.0   ...     \n",
       "         601928.SH     NaN       NaN     NaN  7.286627e-10      NaN   ...     \n",
       "         601929.SH     NaN       NaN     NaN -4.498561e-11      NaN   ...     \n",
       "         601933.SH     1.0    9646.0    29.0  4.331414e-10    119.0   ...     \n",
       "         601939.SH     1.0   54000.0    68.0 -9.026330e-12     85.0   ...     \n",
       "         601958.SH     NaN       NaN     NaN -6.753157e-10      NaN   ...     \n",
       "         601966.SH     NaN       NaN     NaN -3.049985e-09      NaN   ...     \n",
       "         601969.SH     NaN       NaN     NaN -1.954694e-09      NaN   ...     \n",
       "         601985.SH   107.0   42579.0   135.0 -2.409300e-11     66.0   ...     \n",
       "         601988.SH     1.0    1926.0    70.0  2.278494e-12     34.0   ...     \n",
       "         601989.SH     1.0   11385.0    67.0  1.546327e-11     45.0   ...     \n",
       "         601991.SH   107.0   37808.0    82.0  6.347656e-11     22.0   ...     \n",
       "         601992.SH   107.0    9700.0   139.0 -5.866498e-11     32.0   ...     \n",
       "         601997.SH   107.0   31944.0   126.0 -2.285733e-10    167.0   ...     \n",
       "         601998.SH     1.0   28014.0    95.0  4.178643e-12     69.0   ...     \n",
       "         603000.SH     NaN       NaN     NaN -3.889776e-10      NaN   ...     \n",
       "         603156.SH   107.0  107163.0   278.0 -4.612297e-07    281.0   ...     \n",
       "         603160.SH   107.0   67275.0   298.0 -8.598141e-07    295.0   ...     \n",
       "         603259.SH   107.0   53165.0   280.0 -2.515946e-07    294.0   ...     \n",
       "         603260.SH   107.0   64261.0   277.0 -1.810163e-07    283.0   ...     \n",
       "         603288.SH     1.0   54054.0     3.0  2.854426e-07    292.0   ...     \n",
       "         603799.SH   107.0   21546.0   293.0 -2.812960e-08    265.0   ...     \n",
       "         603833.SH   107.0  111936.0   297.0 -3.350522e-06    296.0   ...     \n",
       "         603858.SH   107.0   49750.0   180.0 -7.673470e-10    248.0   ...     \n",
       "         603885.SH     NaN       NaN     NaN  1.940100e-09      NaN   ...     \n",
       "         603986.SH   107.0   64064.0   299.0 -8.374830e-07    291.0   ...     \n",
       "         603993.SH   107.0    4719.0   189.0 -7.605634e-11     40.0   ...     \n",
       "\n",
       "                    alpha183  alpha184  alpha185  alpha186  alpha187  \\\n",
       "date     name                                                          \n",
       "20160104 000001.SZ       NaN      93.0       NaN       NaN      2.13   \n",
       "         000002.SZ       NaN     202.0       NaN       NaN      9.34   \n",
       "         000008.SZ       NaN       NaN       NaN       NaN      4.10   \n",
       "         000009.SZ       NaN     405.0       NaN       NaN      4.97   \n",
       "         000024.SZ       NaN       NaN       NaN       NaN       NaN   \n",
       "         000027.SZ       NaN     369.0       NaN       NaN      1.08   \n",
       "         000039.SZ       NaN     408.0       NaN       NaN      7.81   \n",
       "         000046.SZ       NaN     201.0       NaN       NaN      4.64   \n",
       "         000060.SZ       NaN     369.0       NaN       NaN      5.97   \n",
       "         000061.SZ       NaN     413.0       NaN       NaN      9.24   \n",
       "         000063.SZ       NaN     216.0       NaN       NaN      5.23   \n",
       "         000069.SZ       NaN     223.0       NaN       NaN      1.95   \n",
       "         000100.SZ       NaN     128.0       NaN       NaN      1.66   \n",
       "         000156.SZ       NaN     495.0       NaN       NaN     12.94   \n",
       "         000157.SZ       NaN      57.0       NaN       NaN      0.67   \n",
       "         000166.SZ       NaN     247.0       NaN       NaN      2.89   \n",
       "         000333.SZ       NaN     332.0       NaN       NaN     10.46   \n",
       "         000338.SZ       NaN     109.0       NaN       NaN      1.79   \n",
       "         000400.SZ       NaN     348.0       NaN       NaN      4.98   \n",
       "         000402.SZ       NaN     393.0       NaN       NaN      4.94   \n",
       "         000408.SZ       NaN       NaN       NaN       NaN      5.65   \n",
       "         000413.SZ       NaN     353.0       NaN       NaN      1.30   \n",
       "         000415.SZ       NaN     393.0       NaN       NaN      1.45   \n",
       "         000423.SZ       NaN     480.0       NaN       NaN     19.90   \n",
       "         000425.SZ       NaN     125.0       NaN       NaN      0.40   \n",
       "         000503.SZ       NaN     384.0       NaN       NaN      7.93   \n",
       "         000538.SZ       NaN     382.0       NaN       NaN     25.36   \n",
       "         000539.SZ       NaN     103.0       NaN       NaN      0.90   \n",
       "         000540.SZ       NaN     139.0       NaN       NaN      2.65   \n",
       "         000553.SZ       NaN       NaN       NaN       NaN      0.00   \n",
       "...                      ...       ...       ...       ...       ...   \n",
       "20181228 601898.SH       NaN     209.0       NaN       NaN      0.28   \n",
       "         601899.SH       NaN     324.0       NaN       NaN      0.33   \n",
       "         601901.SH       NaN      79.0       NaN       NaN      0.70   \n",
       "         601919.SH       NaN     298.0       NaN       NaN      0.60   \n",
       "         601928.SH       NaN       NaN       NaN       NaN      2.68   \n",
       "         601929.SH       NaN       NaN       NaN       NaN      0.16   \n",
       "         601933.SH       NaN     355.0       NaN       NaN      2.49   \n",
       "         601939.SH       NaN     281.0       NaN       NaN      0.49   \n",
       "         601958.SH       NaN       NaN       NaN       NaN      0.53   \n",
       "         601966.SH       NaN       NaN       NaN       NaN      1.83   \n",
       "         601969.SH       NaN       NaN       NaN       NaN      1.25   \n",
       "         601985.SH       NaN     452.0       NaN       NaN      0.42   \n",
       "         601988.SH       NaN     476.0       NaN       NaN      0.32   \n",
       "         601989.SH       NaN     418.0       NaN       NaN      0.45   \n",
       "         601991.SH       NaN     387.0       NaN       NaN      0.32   \n",
       "         601992.SH       NaN     475.0       NaN       NaN      1.05   \n",
       "         601997.SH       NaN     349.0       NaN       NaN      0.75   \n",
       "         601998.SH       NaN     210.0       NaN       NaN      0.30   \n",
       "         603000.SH       NaN       NaN       NaN       NaN      1.98   \n",
       "         603156.SH       NaN     360.0       NaN       NaN      9.05   \n",
       "         603160.SH       NaN      20.0       NaN       NaN     31.60   \n",
       "         603259.SH       NaN     351.0       NaN       NaN     11.68   \n",
       "         603260.SH       NaN     316.0       NaN       NaN      6.75   \n",
       "         603288.SH       NaN     124.0       NaN       NaN     19.60   \n",
       "         603799.SH       NaN     254.0       NaN       NaN      7.90   \n",
       "         603833.SH       NaN     463.0       NaN       NaN     23.29   \n",
       "         603858.SH       NaN     328.0       NaN       NaN      4.18   \n",
       "         603885.SH       NaN       NaN       NaN       NaN      2.79   \n",
       "         603986.SH       NaN     303.0       NaN       NaN     11.75   \n",
       "         603993.SH       NaN     348.0       NaN       NaN      0.65   \n",
       "\n",
       "                      alpha188      alpha189   alpha190      alpha191  target  \n",
       "date     name                                                                  \n",
       "20160104 000001.SZ  128.221601  2.558333e-01 -11.899066  2.640501e+01     0.0  \n",
       "         000002.SZ -100.000000  3.552714e-15  -9.605623 -2.523952e-07     0.0  \n",
       "         000008.SZ  103.242753  3.963889e-01  -9.232006  1.424994e+01     0.0  \n",
       "         000009.SZ   87.660346  5.758333e-01  -9.267051  5.236059e+00     0.0  \n",
       "         000024.SZ         NaN           NaN        NaN           NaN     0.0  \n",
       "         000027.SZ  155.212223  2.977778e-01  -9.751322  6.675573e+00     0.0  \n",
       "         000039.SZ   90.000810  8.094444e-01  -8.579370  2.469132e+01     0.0  \n",
       "         000046.SZ   71.829828  4.472222e-01  -8.721542  1.930378e+01     0.0  \n",
       "         000060.SZ   93.165425  6.152778e-01  -8.984750  1.961559e+01     0.0  \n",
       "         000061.SZ   70.620436  1.026389e+00  -8.311806  2.082842e+01     0.0  \n",
       "         000063.SZ  134.419956  4.644444e-01  -9.361549  1.382470e+01     0.0  \n",
       "         000069.SZ   99.680350  3.488889e-01  -9.067292  1.725636e+01     0.0  \n",
       "         000100.SZ  106.364046  1.288889e-01  -8.928884 -1.035634e-01     0.0  \n",
       "         000156.SZ  141.519548  1.315278e+00  -9.338116  2.527618e+00     0.0  \n",
       "         000157.SZ  131.437867  1.500000e-01 -11.135158  1.279595e+01     0.0  \n",
       "         000166.SZ  122.001859  3.016667e-01  -8.626218  1.161197e+00     0.0  \n",
       "         000333.SZ   95.988024  1.035000e+00  -8.798900  4.433935e+00     0.0  \n",
       "         000338.SZ  154.593279  2.055556e-01 -10.986103  3.308467e+00     0.0  \n",
       "         000400.SZ  125.768613  4.341667e-01  -9.372722  5.886652e+00     0.0  \n",
       "         000402.SZ   43.728880  8.272222e-01  -8.749756  1.864166e+01     0.0  \n",
       "         000408.SZ   69.671544  4.805556e-01 -10.341476  4.645282e+00     0.0  \n",
       "         000413.SZ  144.813611  2.763889e-01 -10.212139  2.426113e+00     0.0  \n",
       "         000415.SZ  162.481130  1.986111e-01 -10.500818  1.011863e+01     0.0  \n",
       "         000423.SZ   97.282457  1.614722e+00  -9.817962  1.802464e+01     0.0  \n",
       "         000425.SZ  188.440400  9.638889e-02 -10.889267  7.884189e+00     0.0  \n",
       "         000503.SZ  139.979646  8.000000e-01  -9.789805  1.554069e+01     0.0  \n",
       "         000538.SZ   97.869826  2.249167e+00 -10.856881  3.761602e+01     0.0  \n",
       "         000539.SZ  161.664412  1.777778e-01 -10.777327  5.954545e+00     0.0  \n",
       "         000540.SZ   89.441831  7.358333e-01  -9.245898  2.270498e+01     0.0  \n",
       "         000553.SZ         NaN  1.776357e-15        NaN           NaN     0.0  \n",
       "...                        ...           ...        ...           ...     ...  \n",
       "20181228 601898.SH  -15.894026  6.666667e-02 -14.061211 -4.593800e-01     0.0  \n",
       "         601899.SH  -47.801872  2.027778e-02 -13.858244  8.051953e-01     0.0  \n",
       "         601901.SH   58.788617  7.888889e-02 -11.817659 -7.378342e-01     1.0  \n",
       "         601919.SH  -32.202968  2.277778e-02 -12.246197 -5.810104e-01     1.0  \n",
       "         601928.SH  -31.586898  2.202778e-01  -9.879723  9.036093e-01     1.0  \n",
       "         601929.SH  -51.417829  2.277778e-02 -12.565442 -1.481665e-02     0.0  \n",
       "         601933.SH  -23.859269  1.716667e-01 -11.450684  1.281060e+00     1.0  \n",
       "         601939.SH   -9.130556  1.100000e-01 -13.730526  7.643060e-01     0.0  \n",
       "         601958.SH  -28.395310  4.638889e-02 -14.163201  1.511960e-01     0.0  \n",
       "         601966.SH  -21.651439  1.505556e-01 -13.162543 -8.992736e-01     0.0  \n",
       "         601969.SH  -30.352624  7.638889e-02 -10.231510  8.161265e-01     0.0  \n",
       "         601985.SH   -6.465276  1.333333e-02 -14.719953  6.081910e-02     0.0  \n",
       "         601988.SH   16.407734  2.000000e-02 -16.317592  9.303704e-01     1.0  \n",
       "         601989.SH  -44.764228  5.000000e-02 -13.832384 -2.223263e-01     1.0  \n",
       "         601991.SH   64.230618  2.638889e-02 -15.172706 -2.027157e-01     1.0  \n",
       "         601992.SH  -32.587149  8.388889e-02 -11.083659  7.317055e-02     0.0  \n",
       "         601997.SH   -1.728785  8.083333e-02 -15.421289  5.683230e-01     0.0  \n",
       "         601998.SH    2.846467  4.750000e-02 -14.599998  3.184782e-01     0.0  \n",
       "         603000.SH  -24.321898  6.222222e-02 -10.044716 -4.016736e-01     0.0  \n",
       "         603156.SH  -13.058918  5.608333e-01 -12.315344  2.087025e-01     0.0  \n",
       "         603160.SH   77.393227  8.486111e-01  -9.142646 -2.342918e+00     0.0  \n",
       "         603259.SH  -44.376751  9.658333e-01 -10.849971 -1.725854e-01     0.0  \n",
       "         603260.SH  -25.761433  4.427778e-01 -14.160424  8.509764e-01     0.0  \n",
       "         603288.SH  -13.050540  1.681667e+00 -10.964737 -4.299187e+00     0.0  \n",
       "         603799.SH  -18.136480  1.483611e+00 -10.475174  3.283538e-01     0.0  \n",
       "         603833.SH  -28.699377  1.501111e+00 -10.357768  9.591412e-01     0.0  \n",
       "         603858.SH  -49.182513  1.633333e-01 -11.698793 -5.918995e-01     0.0  \n",
       "         603885.SH  -23.322306  2.080556e-01 -10.386483  7.594454e-01     1.0  \n",
       "         603986.SH  -10.648072  1.910556e+00 -11.304116 -6.195094e-01     0.0  \n",
       "         603993.SH  -34.809161  1.208333e-01 -12.493727  5.899532e-01     0.0  \n",
       "\n",
       "[333336 rows x 181 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "result=result.drop(['Unnamed: 0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv('data2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "f, (ax1, ax2) = plt.subplots(1,2,figsize =( 18, 8))\n",
    "corr = result.corr()\n",
    "mask = np.zeros_like(corr, dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "sns.heatmap((result.loc[result['target'] ==1]).corr(), vmax = .8, square=True, ax = ax1, cmap = 'afmhot', mask=mask);\n",
    "ax1.set_title('BUYING')\n",
    "sns.heatmap((result.loc[result['target'] ==0]).corr(), vmax = .8, square=True, ax = ax2, cmap = 'YlGnBu', mask=mask);\n",
    "ax2.set_title('NOT BUYING')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = result.iloc[:, result.columns != 'target']\n",
    "y = result.iloc[:, result.columns == 'target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
